Merge branch 'main' into add_unit_tests

README.md

@@ -23,7 +23,7 @@ _warning!_ By default wolverine uses GPT-4 and may make many repeated calls to t
 
 To run with gpt-4 (the default, tested option):
 
-    python wolverine.py buggy_script.py "subtract" 20 3
+    python wolverine.py examples/buggy_script.py "subtract" 20 3
 
 You can also run with other models, but be warned they may not adhere to the edit format as well:
 

examples/buggy_script.py

@@ -1,5 +1,9 @@
 import sys
 import fire
+"""
+Run With: `wolverine examples/buggy_script.py "subtract" 20 3`
+Purpose: Show self-regenerating fixing of subtraction operator
+"""
 
 def add_numbers(a, b):
     return a + b

examples/buggy_script_2.py

@@ -0,0 +1,27 @@
+#!/usr/bin/env python3
+import fire
+
+"""
+Run With: with `python wolverine.py examples/buggy_script_2.py`
+Purpose: Fix singleton code bug in Python
+"""
+
+class SingletonClass(object):
+    def __new__(cls):
+        cls.instance = super(SingletonClass, cls).__new__(cls)
+        return cls.instance
+
+def check_singleton_works():
+    """
+    check that singleton pattern is working
+    """
+    singleton = SingletonClass()
+    new_singleton = SingletonClass()
+    singleton.a = 1
+    new_singleton.a = 2
+    should_be_4 = (singleton.a + new_singleton.a)
+    assert should_be_4 == 4
+
+if __name__=="__main__":
+    fire.Fire(check_singleton_works)
+

wolverine.py

@@ -20,7 +20,6 @@ DEFAULT_MODEL = os.environ.get("DEFAULT_MODEL", "gpt-4")
 with open("prompt.txt") as f:
     SYSTEM_PROMPT = f.read()
 
-
 def run_script(script_name, script_args):
     script_args = [str(arg) for arg in script_args]
     """
@@ -70,7 +69,10 @@ def json_validated_response(model, messages):
         messages.append(
             {
                 "role": "user",
-                "content": "Your response could not be parsed by json.loads. Please restate your last message as pure JSON.",
+                "content": (
+                    "Your response could not be parsed by json.loads. "
+                    "Please restate your last message as pure JSON."
+                ),
             }
         )
         # rerun the api call
@@ -146,9 +148,13 @@ def apply_changes(file_path, changes: list, confirm=False):
         elif operation == "InsertAfter":
             file_lines.insert(line, content + "\n")
 
-    # Ask for user confirmation before writing changes
-    print("\nChanges to be made:")
+    # Print explanations
+    cprint("Explanations:", "blue")
+    for explanation in explanations:
+        cprint(f"- {explanation}", "blue")
 
+    # Display changes diff
+    print("\nChanges to be made:")
     diff = difflib.unified_diff(original_file_lines, file_lines, lineterm="")
     for line in diff:
         if line.startswith("+"):
@@ -158,8 +164,8 @@ def apply_changes(file_path, changes: list, confirm=False):
         else:
             print(line, end="")
 
-    # Checking if user used confirm flag
     if confirm:
+        # check if user wants to apply changes or exit
         confirmation = input("Do you want to apply these changes? (y/n): ")
         if confirmation.lower() != "y":
             print("Changes not applied")
@@ -167,27 +173,20 @@ def apply_changes(file_path, changes: list, confirm=False):
 
     with open(file_path, "w") as f:
         f.writelines(file_lines)
-
-    # Print explanations
-    cprint("Explanations:", "blue")
-    for explanation in explanations:
-        cprint(f"- {explanation}", "blue")
-
-    # Show the diff
-    print("\nChanges:")
-    diff = difflib.unified_diff(
-        original_file_lines, file_lines, lineterm="")
-    for line in diff:
-        if line.startswith("+"):
-            cprint(line, "green", end="")
-        elif line.startswith("-"):
-            cprint(line, "red", end="")
-        else:
-            print(line, end="")
-
     print("Changes applied.")
 
 
+def check_model_availability(model):
+    available_models = [x['id'] for x in openai.Model.list()["data"]]
+    if model not in available_models:
+        print(
+            f"Model {model} is not available. Perhaps try running with "
+            "`--model=gpt-3.5-turbo` instead? You can also configure a "
+            "default model in the .env"
+        )
+        exit()
+
+
 def main(script_name, *script_args, revert=False, model=DEFAULT_MODEL, confirm=False):
     if revert:
         backup_file = script_name + ".bak"
@@ -199,6 +198,9 @@ def main(script_name, *script_args, revert=False, model=DEFAULT_MODEL, confirm=F
             print(f"No backup file found for {script_name}")
             sys.exit(1)
 
+    # check if model is available
+    check_model_availability(model)
+
     # Make a backup of the original script
     shutil.copy(script_name, script_name + ".bak")
 
@@ -209,10 +211,10 @@ def main(script_name, *script_args, revert=False, model=DEFAULT_MODEL, confirm=F
             cprint("Script ran successfully.", "blue")
             print("Output:", output)
             break
+
         else:
             cprint("Script crashed. Trying to fix...", "blue")
             print("Output:", output)
-
             json_response = send_error_to_gpt(
                 file_path=script_name,
                 args=script_args,
@@ -226,3 +228,4 @@ def main(script_name, *script_args, revert=False, model=DEFAULT_MODEL, confirm=F
 
 if __name__ == "__main__":
     fire.Fire(main)
+