remove similarity step stuff again

uw_programmatic/uw_machine.py

@@ -24,8 +24,6 @@ class UWMachine(UWBaseMachine):
         """Starts the machine."""
         # Clear input history.
         # Clear csv file
-        with Path(Path.cwd().joinpath("outputs/similarity_step.csv")).open("w") as file:
-            file.write("")
         self.send("enter_first_state")
 
     def on_event_gather_parameters(self, event_: dict) -> None:
@@ -83,21 +81,6 @@ class UWMachine(UWBaseMachine):
     def on_enter_assess_generated_q(self) -> None:
         # TODO: Should it append it to the list already and remove duplicates? or not?
         # TODO: Merge incoming lists
-        with Path(Path.cwd().joinpath("outputs/similarity_step.csv")).open(
-            "a", newline=""
-        ) as file:
-            writer = csv.DictWriter(
-                file,
-                fieldnames=[
-                    "Question",
-                    "Answer",
-                    "Wrong Answers",
-                    "Page",
-                    "Taxonomy",
-                ],
-            )
-            writer.writerow({"Question": "LIST OF QUESTIONS GENERATED THIS ROUND"})
-            writer.writerows(self.most_recent_questions)
         merged_list = [*self.question_list, *self.most_recent_questions]
         prompt = f"{merged_list}"
         self.get_structure("similarity_auditor").run(prompt)
@@ -122,38 +105,6 @@ class UWMachine(UWBaseMachine):
                                     )  # This must be in that JSON format
                                 except:
                                     new_question_list = self.question_list
-                                merged_list = [
-                                    *self.question_list,
-                                    *self.most_recent_questions,
-                                ]
-                                deleted_q = [
-                                    question1
-                                    for question1 in merged_list
-                                    if not any(
-                                        question2["Question"] == question1["Question"]
-                                        for question2 in new_question_list
-                                    )
-                                ]
-                                with Path(
-                                    Path.cwd().joinpath("outputs/similarity_step.csv")
-                                ).open("a", newline="") as file:
-                                    writer = csv.DictWriter(
-                                        file,
-                                        fieldnames=[
-                                            "Question",
-                                            "Answer",
-                                            "Wrong Answers",
-                                            "Page",
-                                            "Taxonomy",
-                                        ],
-                                    )
-                                    writer.writerow(
-                                        {"Question": "QUESTIONS REMOVED THIS ROUND!"}
-                                    )
-                                    if len(deleted_q):
-                                        writer.writerows(deleted_q)
-                                    else:
-                                        writer.writerow({"Question": "No q removed"})
                                 self.question_list = new_question_list
                                 self.send("next_state")  # move on
 
@@ -163,7 +114,6 @@ class UWMachine(UWBaseMachine):
         ) as file:
             writer = csv.writer(file)
             for question in range(len(self.question_list)):
-                # TODO: Shuffle answers according to row, keep correct answer in random section. Answer column is a number.
                 new_row = ["MC", "", 1]
                 new_row.append(self.question_list[question]["Question"])
                 wrong_answers = list(self.question_list[question]["Wrong Answers"])