dropdown fixed

gpt.py

@@ -267,9 +267,6 @@ class GPTAnswerer:
 
         Provide only the exact name of the section from the list above with no additional text.
         """
-
-
-
         prompt = ChatPromptTemplate.from_template(section_prompt)
         chain = prompt | self.llm_cheap | StrOutputParser()
         output = chain.invoke({"question": question})

linkedIn_easy_applier.py

@@ -191,7 +191,9 @@ class LinkedInEasyApplier:
     def _fill_additional_questions(self) -> None:
         form_sections = self.driver.find_elements(By.CLASS_NAME, 'jobs-easy-apply-form-section__grouping')
         for section in form_sections:
+            outer_html = section.get_attribute('outerHTML')
             self._process_form_section(section)
+            
 
     def _process_form_section(self, section: WebElement) -> None:
         if self._handle_terms_of_service(section):
@@ -243,15 +245,18 @@ class LinkedInEasyApplier:
         return False
 
     def _find_and_handle_dropdown_question(self, section: WebElement) -> bool:
-        dropdowns = section.find_elements(By.CLASS_NAME, 'fb-dropdown__select')
-        if dropdowns:
-            dropdown = dropdowns[0]
-            question_text = section.text.lower()
-            select = Select(dropdown)
-            answer = self.gpt_answerer.answer_question_from_options(question_text, [option.text.lower() for option in select.options])
-            self._select_dropdown_option(select, answer)
-            return True
-        return False
+        try:
+            question = section.find_element(By.CLASS_NAME, 'jobs-easy-apply-form-element')
+            question_text = question.find_element(By.TAG_NAME, 'label').text.lower()
+            dropdown = question.find_element(By.TAG_NAME, 'select')
+            if dropdown:
+                select = Select(dropdown)
+                options = [option.text for option in select.options]
+                answer = self.gpt_answerer.answer_question_from_options(question_text, options)
+                self._select_dropdown_option(dropdown, answer)
+                return True
+        except Exception:
+            return False
 
     def _is_numeric_field(self, field: WebElement) -> bool:
         field_type = field.get_attribute('type').lower()
@@ -270,8 +275,6 @@ class LinkedInEasyApplier:
                 radio.click()
                 break
 
-    def _select_dropdown_option(self, select: Select, answer: str) -> None:
-        for option in select.options:
-            if option.text.lower() == answer.lower():
-                select.select_by_visible_text(option.text)
-                break
+    def _select_dropdown_option(self, element: WebElement, text: str) -> None:
+        select = Select(element)
+        select.select_by_visible_text(text)

linkedIn_job_manager.py

@@ -153,8 +153,8 @@ class LinkedInJobManager:
             "pdf_path": job.pdf_path
         }
         file_path = self.output_file_directory / f"{file_name}.json"
-        file_path = file_path.as_posix()
         if not file_path.exists():
+            job.pdf_path = file_path.as_posix()
             with open(file_path, 'w', encoding='utf-8') as f:
                 json.dump([data], f, indent=4)
         else:

main.py

@@ -149,6 +149,12 @@ def init_browser() -> webdriver.Chrome:
 
 def create_and_run_bot(email: str, password: str, parameters: dict, openai_api_key: str):
     try:
+        
+        style_manager = StyleManager()
+        resume_generator = ResumeGenerator()
+        resume_generator_manager = FacadeManager(openai_api_key, style_manager, resume_generator, resume_object, Path("data_folder/output"))
+        
+
         browser = init_browser()
 
         login_component = LinkedInAuthenticator(browser)
@@ -161,13 +167,7 @@ def create_and_run_bot(email: str, password: str, parameters: dict, openai_api_k
         resume_object = Resume(plain_text_resume)
         job_application_profile_object = JobApplicationProfile(plain_text_resume)
         
-        style_manager = StyleManager()
-        resume_generator = ResumeGenerator()
-        resume_generator_manager = FacadeManager(openai_api_key, style_manager, resume_generator, resume_object, Path("data_folder/output"))
-        
-        os.system('cls' if os.name == 'nt' else 'clear')
-        resume_generator_manager.choose_style()
-        
+
         bot = LinkedInBotFacade(login_component, apply_component)
         bot.set_secrets(email, password)
         bot.set_job_application_profile_and_resume(job_application_profile_object, resume_object)