ben suggestions

feedback.md

@@ -0,0 +1,23 @@
+# Feedback 
+
+- you don't want people to have to run `pip install`. Instead you can ship a binary in github and have people just pull the binary
+Create a release here: https://github.com/billybjork/pixel-toaster/releases
+
+- create a proper entry point to your application 
+
+- organize your cdoe more where the main.py just shows the different modes that your cli can run, and then imports code from your src directory.
+
+- When someone pulls your toast binary, have it on the first run no mattter what go in and run commands to get people's input, such as
+    - what device are you on 
+    - what is your open api key 
+    And then you save it to ~/.toast.conf or ~/.toastrc
+
+- familiarize yourself with dotfiles
+
+- When someone comes to you with problems, you will have nothing to be able to debug. Your initialization should save a `~/.toast.logs` as well as a `~/.toast.history`
+- now that I am thinking about it, there should just be a directory created called `~/.toast_bjork` directory
+
+- pass in a command that says " i want to check this ffmpeg command first before running it "
+- use `makefile` stuff to create a binary of your project, and then a separate command to push and publish it to your github repo.
+- in your makefile also add some stuff in for linters, this will make your code cleaner and give you automatic feedback 
+    https://codilime.com/blog/python-code-quality-linters/

main.py

@@ -0,0 +1 @@
+# This file should only show how this thing runs

command_generator.py → src/toast/command_generator.py

@@ -5,6 +5,7 @@
 import openai
 from typing import List, Dict, Optional
 
+# TODO Put this command into its own text file
 class CommandGenerator:
     # --- Enhanced System Prompt ---
     SYSTEM_PROMPT_TEMPLATE = """\
@@ -84,10 +85,12 @@ def clean_json_response(self, response_str: str) -> str:
 
         return response_str
 
+    # TODO: no need to use `List`, you can just use list, same with dict
     def generate_command(self, conversation_history: List[Dict[str, str]], system_context: Dict[str, str]) -> str:
         """
         Generates the FFmpeg command using the LLM, incorporating context and conversation history.
         """
+        # TODO try to break down this funtion a bit more
         # Format the file context message for the system prompt
         file_context_str = "\nFILE CONTEXT:\n"
         explicit_file = system_context.get("explicit_input_file")
@@ -108,6 +111,7 @@ def generate_command(self, conversation_history: List[Dict[str, str]], system_co
                      else:
                          relative_files_for_prompt.append(f_abs)
                  except ValueError: # Files on different drives (Windows)
+                     # TODO: are you sure you want to do this here vs fail?
                      relative_files_for_prompt.append(f_abs)
 
             files_list_str = ", ".join([f"'{f}'" for f in relative_files_for_prompt])
@@ -165,9 +169,11 @@ def generate_command(self, conversation_history: List[Dict[str, str]], system_co
 
             return content
 
+        # TODO: Put this not here  but in the root of toast.py, have something that catches all error types. Makes this 
+        # part of your code much cleaner, and common of repos to put all error handling into general place for python
         except openai.APIConnectionError as e: logging.error(f"OpenAI API connection error: {e}"); raise
         except openai.RateLimitError as e: logging.error(f"OpenAI API rate limit exceeded: {e}"); raise
         except openai.AuthenticationError as e: logging.error(f"OpenAI API authentication error (invalid key?): {e}"); raise
         except openai.PermissionDeniedError as e: logging.error(f"OpenAI API permission denied error: {e}"); raise
         except openai.APIStatusError as e: logging.error(f"OpenAI API status error: {e.status_code} - {e.response}"); raise
-        except Exception as e: logging.error(f"Error during OpenAI API call: {e}", exc_info=True); raise
+        except Exception as e: logging.error(f"Error during OpenAI API call: {e}", exc_info=True); raise

toast → src/toast/toast.py

@@ -10,6 +10,15 @@
 from pathlib import Path
 from typing import Tuple, Optional
 from dotenv import load_dotenv
+from file_manager import (
+    FileManager,
+    VIDEO_EXTENSIONS,
+    IMAGE_EXTENSIONS,
+    AUDIO_EXTENSIONS
+)
+from command_generator import CommandGenerator
+from command_executor import CommandExecutor
+import openai
 
 # --- Determine paths ---
 # Get the path of the script file, resolving symlinks
@@ -20,6 +29,7 @@
     # __file__ might not be defined if running interactively or packaged weirdly
     REAL_SCRIPT_FILE = os.path.abspath(sys.argv[0]) # Fallback using argv
 
+# TODO: a lot of this is going to instead come from your ~/.toast_bjork
 SCRIPT_DIR = os.path.dirname(REAL_SCRIPT_FILE) # Directory of the real script file
 CURRENT_WORKDIR = os.getcwd()
 USER_HOME = Path.home()
@@ -47,35 +57,7 @@
      sys.path.insert(0, SCRIPT_DIR)
      logging.debug(f"Inserted script directory into sys.path: {SCRIPT_DIR}")
 
-try:
-    # *** Import constants directly from file_manager ***
-    from file_manager import (
-        FileManager,
-        VIDEO_EXTENSIONS,
-        IMAGE_EXTENSIONS,
-        AUDIO_EXTENSIONS
-    )
-    from command_generator import CommandGenerator
-    from command_executor import CommandExecutor
-    logging.debug("Helper modules and constants imported successfully.")
-except ImportError as e:
-    # Log error using the configured logger
-    logging.error(f"Failed to import required modules/constants.")
-    logging.error(f"        Real Script Directory: {SCRIPT_DIR}")
-    logging.error(f"        Current sys.path: {sys.path}")
-    logging.error(f"        Ensure file_manager.py (with constants defined), command_generator.py, command_executor.py")
-    logging.error(f"        are in the script directory or installed correctly.")
-    logging.exception("Import Error details:") # Logs the full traceback
-    sys.exit(1)
-
-# --- Import openai here, AFTER potential error exit ---
-# The actual configuration happens later after key check
-try:
-    import openai
-except ImportError:
-    logging.error("'openai' library not installed. Please install it using 'pip install openai'.", exc_info=True)
-    sys.exit(1)
-
+# TODO: move this to `utils.py`
 def print_art():
     art = r"""
 ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣄⠀⠀⠀⢀⡀⠀⠀⠀⣀⡀⠀⠀⠀⠀⠀⠀
@@ -96,16 +78,22 @@ def print_art():
 """
     print(art)
 
+# TODO: move this to its own loader class
+
 # --- System Info Gathering ---
 def get_ffmpeg_executable() -> str:
     ffmpeg_path = shutil.which("ffmpeg")
     if ffmpeg_path is None: raise FileNotFoundError("Missing ffmpeg executable.")
     return ffmpeg_path
+# TODO: let these functions breath, eg put space between beginning and end.
+# TODO: use a linter if you don't already, it should catch this
 def get_ffmpeg_version(ffmpeg_exe: str) -> str:
     try: result = subprocess.run([ffmpeg_exe, "-version"], capture_output=True, text=True, check=False, timeout=5); output = result.stdout if "ffmpeg version" in result.stdout.lower() else result.stderr; first_line = output.splitlines()[0].strip() if output and output.splitlines() else "Could not determine version"; return first_line if "version" in first_line.lower() else output
     except Exception as e: logging.warning(f"Could not get ffmpeg version: {e}"); return "Unknown"
 def get_os_info() -> Tuple[str, str]:
     os_type = platform.system(); return os_type, f"{os_type} {platform.release()} {platform.machine()}"
+
+# TODO: cleaner way to do this
 def get_default_shell() -> Optional[str]:
      shell = os.getenv("SHELL")
      if shell: return shell
@@ -117,6 +105,7 @@ def get_default_shell() -> Optional[str]:
      return None
 
 # --- Main Execution Logic ---
+# TODO: main.py instead of here, and keep the logic in it as light as possible
 def main():
     parser = argparse.ArgumentParser(
         description="toast: Natural language FFmpeg command generator."
@@ -152,6 +141,10 @@ def main():
         logging.error(f"Initialization failed: {e}")
         sys.exit(1)
     except Exception as e:
+        # TODO: update all your logging like this, also make an alias from logging to log
+        # so you can just do log.warning, insterad of logging
+        # logging.warning(",... %s ", args.verbose)
+        # logging.warning("Could not gather some system info: %s", args.verbose) # Show traceback if verbose
         logging.warning(f"Could not gather some system info: {e}", exc_info=args.verbose) # Show traceback if verbose
         ffmpeg_executable = "ffmpeg"; ffmpeg_version = "Unknown"
         os_type, os_info = "Unknown", "Unknown"; default_shell = "Unknown"
@@ -408,6 +401,7 @@ def main():
     # --- Final Check for API Key ---
     if not api_key:
         # Print error to stderr for visibility even if logging isn't working fully
+        # TODO: use a differnet more structured logger
         eprint = lambda *a, **k: print(*a, file=sys.stderr, **k)
         eprint(f"\n[ERROR] OPENAI_API_KEY could not be found.")
         eprint(f"        Search Order:")
@@ -448,4 +442,4 @@ def main():
          sys.exit(130) # Standard exit code for Ctrl+C
     except Exception as e:
          logging.exception("An unhandled exception occurred outside the main loop:")
-         sys.exit(1) # General error exit code
+         sys.exit(1) # General error exit code