🤏 refactor: simplify name

dev_gpt/apis/gpt.py

@@ -17,6 +17,7 @@ from urllib3.exceptions import InvalidChunkLength
 from dev_gpt.constants import PRICING_GPT4_PROMPT, PRICING_GPT4_GENERATION, PRICING_GPT3_5_TURBO_PROMPT, \
     PRICING_GPT3_5_TURBO_GENERATION, CHARS_PER_TOKEN
 from dev_gpt.options.generate.conversation_logger import ConversationLogger
+from dev_gpt.options.generate.parser import identity_parser
 from dev_gpt.options.generate.templates_system import template_system_message_base
 from dev_gpt.utils.string_tools import print_colored, get_template_parameters
 
@@ -170,7 +171,7 @@ class _GPTConversation:
         return SystemMessage(content=system_message)
 
 
-def ask_gpt(prompt_template, parser, **kwargs):
+def ask_gpt(prompt_template, parser=identity_parser, **kwargs):
     template_parameters = get_template_parameters(prompt_template)
     if set(template_parameters) != set(kwargs.keys()):
         raise ValueError(

dev_gpt/options/generate/generator.py

@@ -12,7 +12,7 @@ from langchain.schema import SystemMessage, AIMessage
 from pydantic.dataclasses import dataclass
 
 from dev_gpt.apis import gpt
-from dev_gpt.apis.gpt import _GPTConversation
+from dev_gpt.apis.gpt import _GPTConversation, ask_gpt
 from dev_gpt.apis.jina_cloud import process_error_message, push_executor, is_executor_in_hub
 from dev_gpt.apis.pypi import is_package_on_pypi, clean_requirements_txt
 from dev_gpt.constants import FILE_AND_TAG_PAIRS, NUM_IMPLEMENTATION_STRATEGIES, MAX_DEBUGGING_ITERATIONS, \
@@ -512,14 +512,7 @@ pytest
         return 'yes' in answer.lower()
 
     def generate_microservice_name(self, description):
-        name = self.generate_and_persist_file(
+        return ask_gpt(template_generate_microservice_name, description=description)
-            section_title='Generate microservice name',
-            template=template_generate_microservice_name,
-            destination_folder=self.microservice_root_path,
-            file_name_s=['name.txt'],
-            description=description
-        )['name.txt']
-        return name
 
     def get_possible_packages(self):
         print_colored('', '\n\n############# What packages to use? #############', 'blue')

dev_gpt/options/generate/templates_user.py

@@ -28,28 +28,27 @@ The implemented function and the test must not have a __main__ function.
 The implemented function and the test must use gpt_3_5_turbo if the task requires the processing of language (e.g., understanding, generation, summarization, transformation, translation, modification or classification). Other language models are not allowed.
 The implemented function must follow a clean and elegant coding style.'''
 
+plain_response_format_prompt = '''The response must be raw text and not fenced by markdown or html'''
 
 template_generate_microservice_name = PromptTemplate.from_template(
-    '''Generate a name for the executor matching the description:
+    f'''Generate a name for the executor matching the description:
-"{description}"
+"{{description}}"
 The executor name must fulfill the following criteria:
 - camel case
 - start with a capital letter
 - only consists of lower and upper case characters
 - end with Executor.
-
+{plain_response_format_prompt}
-Your response must exactly match the following block code format (double asterisks for the file name and triple backticks for the file block):
+Positive example:
-**name.txt**
+PngToSvgExecutor
-```
+Negative example:
-<name here>
-```
-Example for: "Get a png as input and return a vectorized version as svg.":
-**name.txt**
 ```
 PngToSvgExecutor
-```'''
+```
+'''
 )
 
+
 # todo split into multiple calls. One for brainstorming - one for the final answer
 template_generate_possible_packages = PromptTemplate.from_template(
     '''Here is the task description of the problem you need to solve: