feat:프로젝트이름 생성 로직

app/api/v1/routes.py

@@ -16,7 +16,7 @@
 router = APIRouter()
 
 # 이력서 생성 api
-@router.post("/api/resumes", response_model=ResumeResponse)
+@router.post("/api/ai/resumes", response_model=ResumeResponse)
 async def generate_resume(request: ResumeRequest):
     logging.basicConfig(level=logging.INFO)
 
@@ -39,7 +39,7 @@ async def generate_resume(request: ResumeRequest):
     # aboutme_techstack = create_aboutme_techstack(project_summaries)
 
 
-
+    # 레포 이름
     repo_name = "/".join(str(request.selectedRepo[0]).rstrip('/').split('/')[-2:])
 
 
@@ -62,7 +62,7 @@ async def generate_resume(request: ResumeRequest):
 
 
 
-@router.put("/api/resumes", response_model=ResumeResponseDto)
+@router.put("/api/ai/resumes", response_model=ResumeResponseDto)
 async def update_resume(request: UpdateRequestDto):
     try:
         # 요청 데이터 확인

app/config/settings.py

@@ -1,7 +1,7 @@
 from typing import List
 from pydantic_settings import BaseSettings
 from app.config.constant import GPT_MODEL, MAX_TOTAL_TOKENS, PROMPT_TOKEN_RESERVE, MAX_OUTPUT_TOKENS, MAX_CONTENT_TOKENS, DEFAULT_DATA, CODE_DATA, PR_DATA, COMMIT_DATA, PROJECT_DATA, REPO_DIRECTORY, FILE_EXTENSIONS
-from app.prompts.resume_prompt import CODE_SUMMARY_PROMPT, PR_SUMMARY_PROMPT, COMMIT_DIFF_SUMMARY_PROMPT, FINAL_SUMMARY_PROMPT, FINAL_PROJECT_PROMPT, SIMPLIFY_PROJECT_PROMPT, ABOUTME_TECHSTACK_PROMPT, ABOUTME_PROMPT, RESUME_UPDATE_PROMPT
+from app.prompts.resume_prompt import CODE_SUMMARY_PROMPT, PR_SUMMARY_PROMPT, COMMIT_DIFF_SUMMARY_PROMPT, FINAL_SUMMARY_PROMPT, FINAL_PROJECT_PROMPT, SIMPLIFY_PROJECT_PROMPT, ABOUTME_TECHSTACK_PROMPT, ABOUTME_PROMPT, RESUME_UPDATE_PROMPT, PROJECT_TITLE_PROMPT
 class Settings(BaseSettings):
     # API 키
     openai_api_key: str
@@ -39,6 +39,7 @@ class Settings(BaseSettings):
     aboutme_techstack_prompt: str = ABOUTME_TECHSTACK_PROMPT
     aboutme_prompt: str = ABOUTME_PROMPT
     resume_update_prompt: str = RESUME_UPDATE_PROMPT
+    project_title_prompt: str = PROJECT_TITLE_PROMPT
 
     class Config:
         env_file = ".env"

app/dto/resume_modify_dto.py

@@ -54,4 +54,7 @@ class ResumeResponseDto(BaseModel):
 class UpdateRequestDto(BaseModel):
     selectedText: str
     requirement: str
-    resumeInfo: ResumeResponseDto
+    resumeInfo: ResumeResponseDto
+
+class ProjectTitleDto(BaseModel):
+    projectTitle: str

app/prompts/resume_prompt.py

@@ -66,4 +66,10 @@
         "Update the provided `selected_text` based on the user's request. "
         "Modify only the specified text, and ensure the updated text aligns with the tone and style of the surrounding context. "
         "Return only the modified text without altering the structure or other parts of the resume."
+)
+
+PROJECT_TITLE_PROMPT = (
+    "Return the best project title as plain text. "
+    "Do not include any additional explanation, formatting, or context. "
+    "Only provide the title itself."
 )

app/services/github_service.py

@@ -274,3 +274,40 @@ def get_github_profile_and_repos(gh_token):
     except Exception as e:
         print(f"Error while fetching GitHub profile and repositories: {e}")
         return "사용자 GitHub 프로필 요약 정보가 없습니다.", "사용자 GitHub 프로젝트 정보를 가져올 수 없습니다."
+
+def project_title_candidate(gh_token, repo_url):
+    try:
+        # GitHub API 클라이언트 초기화
+        g = Github(gh_token)
+
+        # 레포지토리 이름 추출
+        repo_name = "/".join(repo_url.rstrip('/').split('/')[-2:])
+        repo = g.get_repo(repo_name)
+
+        # 제목 후보 1: 레포지토리 이름
+        title_candidate_1 = repo.name
+        print(f"Title Candidate 1 (Repo Name): {title_candidate_1}")
+
+        # 제목 후보 2: README 첫 줄
+        try:
+            readme_content = repo.get_readme().decoded_content.decode("utf-8")
+            title_candidate_2 = readme_content.splitlines()[0] if readme_content else ""
+            print(f"Title Candidate 2 (README First Line): {title_candidate_2}")
+        except Exception as e:
+            print(f"Error fetching README content: {e}")
+            title_candidate_2 = ""
+
+        # 제목 후보 3 : topic
+        try:
+            topics = repo.get_topics()  # 토픽 리스트 가져오기
+            title_candidate_3 = ", ".join(topics) if topics else ""
+            print(f"Title Candidate 3 (Topics): {title_candidate_3}")
+        except Exception as e:
+            print(f"Error fetching topics: {e}")
+            title_candidate_3 = ""
+
+        return title_candidate_1, title_candidate_2, title_candidate_3
+
+    except Exception as e:
+        print(f"Error creating project name: {e}")
+        return "프로젝트 제목을 생성할 수 없습니다."

app/services/gpt_service.py

@@ -1,9 +1,8 @@
 from openai import OpenAI
 from app.config.settings import settings
 from app.dto.resume_dto import GptProject
-from app.dto.resume_modify_dto import ResumeResponseDto
-from app.services.github_service import get_github_profile_and_repos
-# from app.services.json_service import find_key_by_value
+from app.dto.resume_modify_dto import ResumeResponseDto, ProjectTitleDto, RoleAndTaskDto
+from app.services.github_service import get_github_profile_and_repos, project_title_candidate
 import tiktoken 
 import json
 import os
@@ -141,7 +140,6 @@ def generate_project_summary_byJson(code_summary, pr_summary, commit_summary, op
         print(f"Error during summarization: {e}")
         return GptProject(projectName="", skillSet="", projectDescription="")
 
-
 # 최종 요약된 부분, 더 간략화 시키기 및 Json형태 포맷으로 정리
 def simplify_project_summary_byJson(summary_text, openai_api_key, requirements, prompt=settings.simplify_project_prompt):
     try:
@@ -283,13 +281,6 @@ def resume_update(openai_api_key, requirements, selected_text, context_data, pro
             print("Error: User request (requirements) is empty or missing.")
             return context_data # 오류 발생시 기존 데이터 반환
 
-        # # 선택된 텍스트의 키 경로 탐색
-        # key_path = find_key_by_value(context_data, selected_text)
-
-        # if not key_path:
-        #     print("Error: Selected text does not match any value in the JSON data.")
-        #     return context_data # 오류 발생시 기존 데이터 반환
-
         # 수정 요청
         print("이력서 수정")
 
@@ -339,3 +330,79 @@ def resume_update(openai_api_key, requirements, selected_text, context_data, pro
     except Exception as e:
         print(f"Error modifying resume with GPT: {e}")
         return context_data  # 오류 발생 시 기존 데이터 반환
+
+def create_project_title(openai_api_key, gh_token, repo_url, prompt=settings.project_title_prompt):
+    try:
+        # 제목 후보 가져오기
+        title_candidates = project_title_candidate(gh_token, repo_url)
+        title_candidate_1 = title_candidates.get("title_candidate_1", "")
+        title_candidate_2 = title_candidates.get("title_candidate_2", "")
+        title_candidate_3 = title_candidates.get("title_candidate_3", "")
+
+        # 후보 검증 및 최종 제목 결정
+        if title_candidate_1 == title_candidate_2:
+            print("Title Candidate 1 and 2 are identical.")
+            title = {"projectTitle": title_candidate_1}
+            return title
+
+        print("프로젝트 제목을 추론합니다.")
+
+        # OpenAI API 호출
+        client = OpenAI(api_key=openai_api_key) 
+        response = client.beta.chat.completions.parse(
+            model=settings.gpt_model,
+            messages=[
+                {
+                    "role": "system",
+                    "content": (
+                        "You are a professional assistant tasked with deciding the best project title. "
+                        "Evaluate the provided title candidates and choose the most appropriate one. "
+                        "Focus on clarity, relevance, and alignment with typical project naming conventions."
+                    )
+                },
+                {
+                    "role": "user",
+                    "content": (
+                        "You are tasked with evaluating and determining the best project title based on the following candidates:\n\n"
+                        f"title_candidate_1 (Repository Name):\n{title_candidate_1}\n\n"
+                        f"title_candidate_2 (README First Line):\n{title_candidate_2}\n\n"
+                        f"title_candidate_3 (Topics):\n{title_candidate_3}\n\n"
+                        "Candidate 1 and 2 are the primary sources for the project title as they are likely to directly reflect the project’s purpose. "
+                        "Evaluate these first to infer a suitable title. "
+                        "If these candidates lack sufficient clarity or relevance, use Candidate 3 (Topics) to provide additional context or inspiration for the title.\n\n"
+                        "Your decision should prioritize the following criteria:\n"
+                        "- Clarity: The title should be easy to understand and intuitive.\n"
+                        "- Relevance: The title should accurately represent the project’s purpose, functionality, or key features.\n"
+                        "- Alignment: The title should align with common naming conventions for projects of this type.\n\n"
+                        "If none of the candidates are appropriate, synthesize information from all three candidates to create a new title that best fits the project.\n\n"
+                        "Be concise and professional in your suggestion."
+                    )
+                },
+                {
+                    "role": "assistant",
+                    "content": f"Sample summary format: {prompt}."
+                }
+            ],
+            max_tokens=settings.max_output_tokens,
+            response_format=ProjectTitleDto
+        )
+        # GPT 응답 파싱
+        response_text = response.choices[0].message.parsed
+
+        # 최종 리턴값 확인 - 테스트용
+        print(f"Final Response Text: {response_text}")
+
+        # ProjectTitleDto 객체로 반환
+        return response_text
+
+
+    except Exception as e:
+        print(f"Error modifying resume with GPT: {e}")
+        return {
+            "projectTitle": "",
+            "title_candidates": {
+                "title_candidate_1": "",
+                "title_candidate_2": "",
+                "title_candidate_3": ""
+            }
+        }