.gitignore

@@ -52,4 +52,3 @@ Dockerfile
 .dockerignore
 
 zzz/
-credentials/service_account.json

app/core/exceptions.py

@@ -314,10 +314,7 @@ def add_exception_handlers(app: FastAPI):
 
     @app.exception_handler(DashboardException)
     def dashboard_exception_handler(request: Request, exc: DashboardException) -> Response:
-        if exc.status_code < 500:
+        logger.debug(f"Handled DashboardException: {exc.__class__.__name__} - {exc.message}")
-            logger.warning(f"Handled DashboardException: {exc.__class__.__name__} - {exc.message}")
-        else:
-            logger.error(f"Handled DashboardException: {exc.__class__.__name__} - {exc.message}")
         return JSONResponse(
             status_code=exc.status_code,
             content={

app/database/session.py

@@ -130,9 +130,6 @@ async def get_session() -> AsyncGenerator[AsyncSession, None]:
         try:
             yield session
         except Exception as e:
-            from app.dashboard.exceptions import DashboardException
-            if isinstance(e, DashboardException):
-                raise e
             import traceback
             await session.rollback()
             logger.error(traceback.format_exc())

app/utils/prompts/prompts.py

@@ -1,6 +1,5 @@
-import gspread
+import os, json
 from pydantic import BaseModel
-from google.oauth2.service_account import Credentials
 from config import prompt_settings
 from app.utils.logger import get_logger
 from app.utils.prompts.schemas import *
@@ -8,37 +7,29 @@ from functools import lru_cache
 
 logger = get_logger("prompt")
 
-_SCOPES = [
-    "https://www.googleapis.com/auth/spreadsheets.readonly", 
-    "https://www.googleapis.com/auth/drive.readonly"
-]
-
 class Prompt():
-    sheet_name: str
+    prompt_template_path : str #프롬프트 경로
-    prompt_template: str
+    prompt_template : str # fstring 포맷
-    prompt_model: str
+    prompt_model : str 
     
-    prompt_input_class = BaseModel
+    prompt_input_class = BaseModel # pydantic class 자체를(instance 아님) 변수로 가짐
     prompt_output_class = BaseModel
               
-    def __init__(self, sheet_name, prompt_input_class, prompt_output_class):
+    def __init__(self, prompt_template_path, prompt_input_class, prompt_output_class, prompt_model):
-        self.sheet_name = sheet_name
+        self.prompt_template_path = prompt_template_path
         self.prompt_input_class = prompt_input_class
         self.prompt_output_class = prompt_output_class
-        self.prompt_template, self.prompt_model = self._read_from_sheets()
+        self.prompt_template = self.read_prompt()
-
+        self.prompt_model = prompt_model
-    def _read_from_sheets(self) -> tuple[str, str]:
-        creds = Credentials.from_service_account_file(
-            prompt_settings.GOOGLE_SERVICE_ACCOUNT_JSON, scopes=_SCOPES
-        )
-        gc = gspread.authorize(creds)
-        ws = gc.open_by_key(prompt_settings.PROMPT_SPREADSHEET).worksheet(self.sheet_name)
-        model = ws.cell(2, 2).value
-        input_text = ws.cell(3, 2).value
-        return input_text, model
 
     def _reload_prompt(self):
-        self.prompt_template, self.prompt_model = self._read_from_sheets()
+        self.prompt_template = self.read_prompt()
+
+    def read_prompt(self) -> tuple[str, dict]:
+        with open(self.prompt_template_path, "r") as fp:
+            prompt_template = fp.read()
+
+        return prompt_template
 
     def build_prompt(self, input_data:dict, silent:bool = False) -> str:
         verified_input = self.prompt_input_class(**input_data)
@@ -50,36 +41,40 @@ class Prompt():
         return build_template
     
 marketing_prompt = Prompt(
-    sheet_name="marketing",
+    prompt_template_path = os.path.join(prompt_settings.PROMPT_FOLDER_ROOT, prompt_settings.MARKETING_PROMPT_FILE_NAME),
-    prompt_input_class=MarketingPromptInput,
+    prompt_input_class = MarketingPromptInput,
-    prompt_output_class=MarketingPromptOutput,
+    prompt_output_class = MarketingPromptOutput,
+    prompt_model = prompt_settings.MARKETING_PROMPT_MODEL
 )
 
 lyric_prompt = Prompt(
-    sheet_name="lyric",
+    prompt_template_path=os.path.join(prompt_settings.PROMPT_FOLDER_ROOT, prompt_settings.LYRIC_PROMPT_FILE_NAME),
-    prompt_input_class=LyricPromptInput,
+    prompt_input_class = LyricPromptInput,
-    prompt_output_class=LyricPromptOutput,
+    prompt_output_class = LyricPromptOutput,
+    prompt_model = prompt_settings.LYRIC_PROMPT_MODEL
 )
 
 yt_upload_prompt = Prompt(
-    sheet_name="yt_upload",
+    prompt_template_path=os.path.join(prompt_settings.PROMPT_FOLDER_ROOT, prompt_settings.YOUTUBE_PROMPT_FILE_NAME),
-    prompt_input_class=YTUploadPromptInput,
+    prompt_input_class = YTUploadPromptInput,
-    prompt_output_class=YTUploadPromptOutput,
+    prompt_output_class = YTUploadPromptOutput,
+    prompt_model = prompt_settings.YOUTUBE_PROMPT_MODEL
 )
 
 image_autotag_prompt = Prompt(
-    sheet_name="image_tag",
+    prompt_template_path=os.path.join(prompt_settings.PROMPT_FOLDER_ROOT, prompt_settings.IMAGE_TAG_PROMPT_FILE_NAME),
-    prompt_input_class=ImageTagPromptInput,
+    prompt_input_class = ImageTagPromptInput,
-    prompt_output_class=ImageTagPromptOutput,
+    prompt_output_class = ImageTagPromptOutput,
+    prompt_model = prompt_settings.IMAGE_TAG_PROMPT_MODEL
 )
 
 @lru_cache()
-def create_dynamic_subtitle_prompt(length: int) -> Prompt:
+def create_dynamic_subtitle_prompt(length : int) -> Prompt:
-    return Prompt(
+    prompt_template_path=os.path.join(prompt_settings.PROMPT_FOLDER_ROOT, prompt_settings.SUBTITLE_PROMPT_FILE_NAME)
-        sheet_name="subtitle",
+    prompt_input_class = SubtitlePromptInput
-        prompt_input_class=SubtitlePromptInput,
+    prompt_output_class = SubtitlePromptOutput[length]
-        prompt_output_class=SubtitlePromptOutput[length],
+    prompt_model = prompt_settings.SUBTITLE_PROMPT_MODEL
-    )
+    return Prompt(prompt_template_path, prompt_input_class, prompt_output_class, prompt_model)
 
 
 def reload_all_prompt():

app/utils/prompts/templates/20260129_marketing_prompt.txt

@@ -0,0 +1,64 @@
+
+[Role & Objective]
+Act as a content marketing expert with strong domain knowledge in the Korean pension / stay-accommodation industry.
+Your goal is to produce a Marketing Intelligence Report that will be shown to accommodation owners BEFORE any content is generated.
+The report must clearly explain what makes the property sellable, marketable, and scalable through content.
+
+[INPUT]
+- Business Name: {customer_name}
+- Region: {region}
+- Region Details: {detail_region_info}
+
+[Core Analysis Requirements]
+Analyze the property based on:
+Location, concept, and nearby environment
+Target customer behavior and reservation decision factors
+Include:
+- Target customer segments & personas
+- Unique Selling Propositions (USPs)
+- Competitive landscape (direct & indirect competitors)
+- Market positioning
+
+[Key Selling Point Structuring – UI Optimized]
+From the analysis above, extract the main Key Selling Points using the structure below.
+Rules:
+Focus only on factors that directly influence booking decisions
+Each selling point must be concise and visually scannable
+Language must be reusable for ads, short-form videos, and listing headlines
+Avoid full sentences in descriptions; use short selling phrases
+Do not provide in report
+
+Output format:
+[Category]
+(Tag keyword – 5~8 words, noun-based, UI oval-style)
+One-line selling phrase (not a full sentence)
+Limit:
+5 to 8 Key Selling Points only
+Do not provide in report
+
+[Content & Automation Readiness Check]
+Ensure that:
+Each tag keyword can directly map to a content theme
+Each selling phrase can be used as:
+- Video hook
+- Image headline
+- Ad copy snippet
+
+
+[Tag Generation Rules]
+- Tags must include **only core keywords that can be directly used for viral video song lyrics**
+- Each tag should be selected with **search discovery + emotional resonance + reservation conversion** in mind
+- The number of tags must be **exactly 5**
+- Tags must be **nouns or short keyword phrases**; full sentences are strictly prohibited
+- The following categories must be **balanced and all represented**:
+  1) **Location / Local context** (region name, neighborhood, travel context)
+  2) **Accommodation positioning** (emotional stay, private stay, boutique stay, etc.)
+  3) **Emotion / Experience** (healing, rest, one-day escape, memory, etc.)
+  4) **SNS / Viral signals** (Instagram vibes, picture-perfect day, aesthetic travel, etc.)
+  5) **Travel & booking intent** (travel, getaway, stay, relaxation, etc.)
+
+- If a brand name exists, **at least one tag must include the brand name or a brand-specific expression**
+- Avoid overly generic keywords (e.g., “hotel”, “travel” alone); **prioritize distinctive, differentiating phrases**
+- The final output must strictly follow the JSON format below, with no additional text
+
+  "tags": ["Tag1", "Tag2", "Tag3", "Tag4", "Tag5"]

app/utils/prompts/templates/image_autotag_prompt.txt

@@ -0,0 +1,24 @@
+You are an expert image analyst and content tagger.
+
+Analyze the provided image carefully and select the most appropriate tags for each category below.
+and lastly, check this image is acceptable for marketing advertisement video.
+
+and set NarrativePreference score for each narrative phase.
+
+## Rules
+- For each category, select between 0 and the specified maximum number of tags.
+- Only select tags from the exact list provided for each category. Do NOT invent or modify tags.
+- If no tags in a category are applicable, return an empty list for that category.
+- Base your selections solely on what is visually present or strongly implied in the image.
+-
+
+## Tag Categories
+space_type:{space_type}
+subject: {subject}
+camera:{camera}
+motion_recommended: {motion_recommended}
+
+## Output
+Return a JSON object where each key is a category name and the value is a list of selected tags.
+Selected tags must be chosen from the available tags of that category only.
+and NarrativePreference score for each narrative phase.

app/utils/prompts/templates/lyric_prompt.txt

@@ -0,0 +1,77 @@
+
+[ROLE]
+You are a content marketing expert, brand strategist, and creative songwriter
+specializing in Korean pension / accommodation businesses.
+You create lyrics strictly based on Brand & Marketing Intelligence analysis
+and optimized for viral short-form video content.
+Marketing Intelligence Report is background reference.
+
+[INPUT]
+Business Name: {customer_name}
+Region: {region}
+Region Details: {detail_region_info}
+Brand & Marketing Intelligence Report: {marketing_intelligence_summary}
+Output Language: {language}
+
+[INTERNAL ANALYSIS – DO NOT OUTPUT]
+Internally analyze the following to guide all creative decisions:
+- Core brand identity and positioning
+- Emotional hooks derived from selling points
+- Target audience lifestyle, desires, and travel motivation
+- Regional atmosphere and symbolic imagery
+- How the stay converts into “shareable moments”
+- Which selling points must surface implicitly in lyrics
+
+[LYRICS & MUSIC CREATION TASK]
+Based on the Brand & Marketing Intelligence Report for [{customer_name} ({region})], generate:
+- Original promotional lyrics
+- Music attributes for AI music generation (Suno-compatible prompt)
+The output must be designed for VIRAL DIGITAL CONTENT
+(short-form video, reels, ads).
+
+[LYRICS REQUIREMENTS]
+Mandatory Inclusions:
+- Business name
+- Region name
+- Promotion subject
+- Promotional expressions including:
+{promotional_expression_example}
+
+Content Rules:
+- Lyrics must be emotionally driven, not descriptive listings
+- Selling points must be IMPLIED, not explained
+- Must sound natural when sung
+- Must feel like a lifestyle moment, not an advertisement
+
+Tone & Style:
+- Warm, emotional, and aspirational
+- Trendy, viral-friendly phrasing
+- Calm but memorable hooks
+- Suitable for travel / stay-related content
+
+[SONG & MUSIC ATTRIBUTES – FOR SUNO PROMPT]
+After the lyrics, generate a concise music prompt including:
+Song mood (emotional keywords)
+BPM range
+Recommended genres (max 2)
+Key musical motifs or instruments
+Overall vibe (1 short sentence)
+
+[CRITICAL LANGUAGE REQUIREMENT – ABSOLUTE RULE]
+ALL OUTPUT MUST BE 100% WRITTEN IN {language}.
+no mixed languages
+All names, places, and expressions must be in {language} 
+Any violation invalidates the entire output
+
+[OUTPUT RULES – STRICT]
+{timing_rules}
+
+No explanations
+No headings
+No bullet points
+No analysis
+No extra text
+
+[FAILURE FORMAT]
+If generation is impossible:
+ERROR: Brief reason in English

app/utils/prompts/templates/marketing_prompt.txt

@@ -0,0 +1,42 @@
+# Role
+Act as a Senior Brand Strategist and Marketing Data Analyst. Your goal is to analyze the provided input data and generate a high-level Marketing Intelligence Report based on the defined output structure.
+
+# Input Data
+*   **Customer Name:** {customer_name}
+*   **Region:** {region}
+*   **Detail Region Info:** {detail_region_info}
+
+# Output Rules
+1.  **Language:** All descriptive content must be written in **Korean (한국어)**.
+2.  **Terminology:** Use professional marketing terminology suitable for the hospitality and stay industry.
+3.  **Strict Selection for `selling_points.english_category` and `selling_points.korean_category`:** You must select the value for both category field in `selling_points` strictly from the following English - Korean set allowed list to ensure UI compatibility:
+    *  `LOCATION` (입지 환경), `CONCEPT` (브랜드 컨셉), `PRIVACY` (프라이버시), `NIGHT MOOD` (야간 감성), `HEALING` (힐링 요소), `PHOTO SPOT` (포토 스팟), `SHORT GETAWAY` (숏브레이크), `HOSPITALITY` (서비스), `SWIMMING POOL` (수영장), `JACUZZI` (자쿠지), `BBQ PARTY` (바베큐), `FIRE PIT` (불멍), `GARDEN` (정원), `BREAKFAST` (조식), `KIDS FRIENDLY` (키즈 케어), `PET FRIENDLY` (애견 동반), `OCEAN VIEW` (오션뷰), `PRIVATE POOL` (개별 수영장), `OCEAN VIEW`, `PRIVATE POOL`.
+
+---
+
+# Instruction per Output Field (Mapping Logic)
+
+### 1. brand_identity
+*   **`location_feature_analysis`**: Analyze the marketing advantages of the given `{region}` and `{detail_region_info}`. Explain why this specific location is attractive to travelers. summarize in 1-2 sentences. (e.g., proximity to nature, accessibility from Seoul, or unique local atmosphere).
+*   **`concept_scalability`**: Based on `{customer_name}`, analyze how the brand's core concept can expand into a total customer experience or additional services. summarize in 1-2 sentences.
+
+### 2. market_positioning
+*   **`category_definition`**: Define a sharp, niche market category for this business (e.g., "Private Forest Cabin" or "Luxury Kids Pool Villa").
+*   **`core_value`**: Identify the single most compelling emotional or functional value that distinguishes `{customer_name}` from competitors.
+
+### 3. target_persona
+Generate a list of personas based on the following:
+*   **`persona`**: Provide a descriptive name and profile for the target group. Must be **20 characters or fewer**.
+*   **`age`**: Set `min_age` and `max_age` (Integer 0-100) that accurately reflects the segment.
+*   **`favor_target`**: List specific elements or vibes this persona prefers (e.g., "Minimalist interior", "Pet-friendly facilities").
+*   **`decision_trigger`**: Identify the specific "Hook" or facility that leads this persona to finalize a booking.
+
+### 4. selling_points
+Generate 5-8 selling points:
+*   **`english_category`**: Strictly use one keyword from the English allowed list provided in the Output Rules.
+*   **`korean category`**: Strictly use one keyword from the Korean allowed list provided in the Output Rules . It must be matched with english category.
+*   **`description`**: A short, punchy marketing phrase in Korean (15~30 characters).
+*   **`score`**: An integer (0-100) representing the strength of this feature based on the brand's potential.
+
+### 5. target_keywords
+*   **`target_keywords`**: Provide a list of 10 highly relevant marketing keywords or hashtags for search engine optimization and social media targeting. Do not insert # in front of hashtag. 

app/utils/prompts/templates/yt_upload_prompt.txt

@@ -0,0 +1,143 @@
+[ROLE]
+You are a YouTube SEO/AEO content strategist specialized in local stay, pension, and accommodation brands in Korea.
+You create search-optimized, emotionally appealing, and action-driving titles and descriptions based on Brand & Marketing Intelligence.
+
+Your goal is to:
+
+Increase search visibility
+Improve click-through rate
+Reflect the brand’s positioning
+Trigger emotional interest
+Encourage booking or inquiry actions through subtle CTA
+ 
+
+[INPUT]
+Business Name: {customer_name}
+Region Details: {detail_region_info}
+Brand & Marketing Intelligence Report: {marketing_intelligence_summary}
+Target Keywords: {target_keywords}
+Output Language: {language}
+
+ 
+
+[INTERNAL ANALYSIS – DO NOT OUTPUT]
+Analyze the following from the marketing intelligence:
+
+Core brand concept
+Main emotional promise
+Primary target persona
+Top 2–3 USP signals
+Stay context (date, healing, local trip, etc.)
+Search intent behind the target keywords
+Main booking trigger
+Emotional moment that would make the viewer want to stay
+Use these to guide:
+
+Title tone
+Opening CTA line
+Emotional hook in the first sentences
+ 
+
+[TITLE GENERATION RULES]
+
+The title must:
+
+Include the business name or region when natural
+Always wrap the business name in quotation marks
+Example: “스테이 머뭄”
+Include 1–2 high-intent keywords
+Reflect emotional positioning
+Suggest a desirable stay moment
+Sound like a natural YouTube title, not an advertisement
+Length rules:
+
+Hard limit: 100 characters
+Target range: 45–65 characters
+Place primary keyword in the first half
+Avoid:
+
+ALL CAPS
+Excessive symbols
+Price or promotion language
+Hard-sell expressions
+ 
+
+[DESCRIPTION GENERATION RULES]
+
+Character rules:
+
+Maximum length: 1,000 characters
+Critical information must appear within the first 150 characters
+Language style rules (mandatory):
+
+Use polite Korean honorific style
+Replace “있나요?” with “있으신가요?”
+Do not start sentences with “이곳은”
+Replace “선택이 됩니다” with “추천 드립니다”
+Always wrap the business name in quotation marks
+Example: “스테이 머뭄”
+Avoid vague location words like “근대거리” alone
+Use specific phrasing such as:
+“군산 근대역사문화거리 일대”
+Structure:
+
+Opening CTA (first line)
+Must be a question or gentle suggestion
+Must use honorific tone
+Example:
+“조용히 쉴 수 있는 군산숙소를 찾고 있으신가요?”
+Core Stay Introduction (within first 150 characters total)
+Mention business name with quotation marks
+Mention region
+Include main keyword
+Briefly describe the stay experience
+Brand Experience
+Core value and emotional promise
+Based on marketing intelligence positioning
+Key Highlights (3–4 short lines)
+Derived from USP signals
+Natural sentences
+Focus on booking-trigger moments
+Local Context
+Mention nearby experiences
+Use specific local references
+Example:
+“군산 근대역사문화거리 일대 산책이나 로컬 카페 투어”
+Soft Closing Line
+One gentle, non-salesy closing sentence
+Must end with a recommendation tone
+Example:
+“군산에서 조용한 시간을 보내고 싶다면 ‘스테이 머뭄’을 추천 드립니다.”
+ 
+
+[SEO & AEO RULES]
+
+Naturally integrate 3–5 keywords from {target_keywords}
+Avoid keyword stuffing
+Use conversational, search-like phrasing
+Optimize for:
+YouTube search
+Google video results
+AI answer summaries
+Keywords should appear in:
+
+Title (1–2)
+First 150 characters of description
+Highlight or context sections
+ 
+
+[LANGUAGE RULE]
+
+All output must be written entirely in {language}.
+No mixed languages.
+
+ 
+
+[OUTPUT FORMAT – STRICT]
+
+title:
+description:
+
+No explanations.
+No headings.
+No extra text.

config.py

@@ -181,8 +181,22 @@ class CreatomateSettings(BaseSettings):
     model_config = _base_config
 
 class PromptSettings(BaseSettings):
-    GOOGLE_SERVICE_ACCOUNT_JSON: str = Field(...)
+    PROMPT_FOLDER_ROOT : str = Field(default="./app/utils/prompts/templates")
-    PROMPT_SPREADSHEET: str = Field(...)
+
+    MARKETING_PROMPT_FILE_NAME : str = Field(default="marketing_prompt.txt")
+    MARKETING_PROMPT_MODEL : str = Field(default="gpt-5.2")
+
+    LYRIC_PROMPT_FILE_NAME : str = Field(default="lyric_prompt.txt")
+    LYRIC_PROMPT_MODEL : str = Field(default="gpt-5-mini")
+
+    YOUTUBE_PROMPT_FILE_NAME : str = Field(default="yt_upload_prompt.txt")
+    YOUTUBE_PROMPT_MODEL : str = Field(default="gpt-5-mini")
+
+    IMAGE_TAG_PROMPT_FILE_NAME : str = Field(...)
+    IMAGE_TAG_PROMPT_MODEL : str = Field(...)
+    
+    SUBTITLE_PROMPT_FILE_NAME : str = Field(...)
+    SUBTITLE_PROMPT_MODEL : str = Field(...)
     
     model_config = _base_config
 

pyproject.toml

@@ -12,7 +12,6 @@ dependencies = [
     "beautifulsoup4>=4.14.3",
     "fastapi-cli>=0.0.16",
     "fastapi[standard]>=0.125.0",
-    "gspread>=6.2.1",
     "openai>=2.13.0",
     "playwright>=1.57.0",
     "pydantic-settings>=2.12.0",

uv.lock

@@ -178,31 +178,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/cb/0e/02ceeec9a7d6ee63bb596121c2c8e9b3a9e150936f4fbef6ca1943e6137c/cffi-2.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:256f80b80ca3853f90c21b23ee78cd008713787b1b1e93eae9f3d6a7134abd91", size = 177780, upload-time = "2025-09-08T23:23:16.761Z" },
 ]
 
-[[package]]
-name = "charset-normalizer"
-version = "3.4.6"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/7b/60/e3bec1881450851b087e301bedc3daa9377a4d45f1c26aa90b0b235e38aa/charset_normalizer-3.4.6.tar.gz", hash = "sha256:1ae6b62897110aa7c79ea2f5dd38d1abca6db663687c0b1ad9aed6f6bae3d9d6", size = 143363, upload-time = "2026-03-15T18:53:25.478Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/1e/1d/4fdabeef4e231153b6ed7567602f3b68265ec4e5b76d6024cf647d43d981/charset_normalizer-3.4.6-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:11afb56037cbc4b1555a34dd69151e8e069bee82e613a73bef6e714ce733585f", size = 294823, upload-time = "2026-03-15T18:51:15.755Z" },
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