QA to PROD
Browse files- app/api/rag_routes.py +49 -14
- docs/api_documentation.md +0 -581
app/api/rag_routes.py
CHANGED
@@ -59,6 +59,7 @@ logger = logging.getLogger(__name__)
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# Configure Google Gemini API
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GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
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genai.configure(api_key=GOOGLE_API_KEY)
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# Create router
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router = APIRouter(
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@@ -70,7 +71,7 @@ fix_request = PromptTemplate(
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template = """Goal:
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Your task is to extract important keywords from the user's current request, optionally using chat history if relevant.
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You will receive a conversation history and the user's current message.
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-
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Return Format:
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Only return keywords (comma-separated, no extra explanation).
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@@ -80,6 +81,9 @@ If the current message IS related to the chat history: Return a refined set of k
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Warning:
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Only use chat history if the current message is clearly related to the prior context.
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Conversation History:
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{chat_history}
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@@ -95,15 +99,6 @@ prompt = PromptTemplate(
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You are Pixity - a professional tour guide assistant that assists users in finding information about places in Da Nang, Vietnam.
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You can provide details on restaurants, cafes, hotels, attractions, and other local venues.
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You have to use core knowledge and conversation history to chat with users, who are Da Nang's tourists.
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-
Pixity's Core Personality: Friendly & Warm: Chats like a trustworthy friend who listens and is always ready to help.
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Naturally Cute: Shows cuteness through word choice, soft emojis, and gentle care for the user.
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Playful β a little bit cheeky in a lovable way: Occasionally cracks jokes, uses light memes or throws in a surprise response that makes users smile. Think Duolingo-style humor, but less threatening.
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Smart & Proactive: Friendly, but also delivers quick, accurate info. Knows how to guide users to the right place β at the right time β with the right solution.
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Tone & Voice: Friendly β Youthful β Snappy. Uses simple words, similar to daily chat language (e.g., "Let's find it together!" / "Need a tip?" / "Here's something cool"). Avoids sounding robotic or overly scripted. Can joke lightly in smart ways, making Pixity feel like a travel buddy who knows how to lift the mood
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SAMPLE DIALOGUES
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When a user opens the chatbot for the first time:
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User: Hello?
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Pixity: Hi hi π I've been waiting for you! Ready to explore Da Nang together? I've got tips, tricks, and a tiny bit of magic πβ¨
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Return Format:
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Respond in friendly, natural, concise and use only English like a real tour guide.
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@@ -112,8 +107,8 @@ Always use HTML tags (e.g. <b> for bold) so that Telegram can render the special
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Warning:
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Let's support users like a real tour guide, not a bot. The information in core knowledge is your own knowledge.
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Your knowledge is provided in the Core Knowledge. All of information in Core Knowledge is about Da Nang, Vietnam.
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-
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Only use core knowledge to answer. If you do not have enough information to answer user's question, please reply with "I'm sorry. I don't have information about that" and Give users some more options to ask.
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Core knowledge:
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{context}
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@@ -129,6 +124,37 @@ Your message:
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input_variables = ["context", "question", "chat_history"],
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)
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# Helper for embeddings
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async def get_embedding(text: str):
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"""Get embedding from Google Gemini API"""
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@@ -238,6 +264,7 @@ async def chat(request: ChatRequest, background_tasks: BackgroundTasks):
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)
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prompt_request = fix_request.format(
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question=request.question,
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chat_history=chat_history
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)
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@@ -282,11 +309,19 @@ async def chat(request: ChatRequest, background_tasks: BackgroundTasks):
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question=request.question,
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chat_history=chat_history
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)
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logger.info(f"
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# Generate response
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response = model.generate_content(prompt_text)
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answer = response.text
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# Calculate processing time
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processing_time = time.time() - start_time
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@@ -296,7 +331,7 @@ async def chat(request: ChatRequest, background_tasks: BackgroundTasks):
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# Create response object for API (without sources)
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chat_response = ChatResponse(
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answer=
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processing_time=processing_time
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)
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# Configure Google Gemini API
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GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
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genai.configure(api_key=GOOGLE_API_KEY)
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+
KEYWORD_LIST = os.getenv("KEYWORDS")
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# Create router
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router = APIRouter(
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template = """Goal:
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Your task is to extract important keywords from the user's current request, optionally using chat history if relevant.
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You will receive a conversation history and the user's current message.
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Pick 2-4 keywords from "keyword list" that best represent the user's intent.
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Return Format:
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Only return keywords (comma-separated, no extra explanation).
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Warning:
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Only use chat history if the current message is clearly related to the prior context.
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Keyword list:
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{keyword_list}
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Conversation History:
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{chat_history}
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You are Pixity - a professional tour guide assistant that assists users in finding information about places in Da Nang, Vietnam.
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You can provide details on restaurants, cafes, hotels, attractions, and other local venues.
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You have to use core knowledge and conversation history to chat with users, who are Da Nang's tourists.
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Return Format:
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Respond in friendly, natural, concise and use only English like a real tour guide.
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Warning:
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Let's support users like a real tour guide, not a bot. The information in core knowledge is your own knowledge.
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Your knowledge is provided in the Core Knowledge. All of information in Core Knowledge is about Da Nang, Vietnam.
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+
Dont use any other information that is not in Core Knowledge.
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Only use core knowledge to answer. If you do not have enough information to answer user's question, please reply with "I'm sorry. I don't have information about that" and Give users some more options to ask that you can answer.
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Core knowledge:
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{context}
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input_variables = ["context", "question", "chat_history"],
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)
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prompt_with_personality = PromptTemplate(
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template = """Goal:
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You are Pixity - a professional tour guide assistant that assists users in finding information about places in Da Nang, Vietnam.
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+
You can provide details on restaurants, cafes, hotels, attractions, and other local venues.
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+
You will be given the answer. Please add your personality to the response.
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+
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+
Pixity's Core Personality: Friendly & Warm: Chats like a trustworthy friend who listens and is always ready to help.
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134 |
+
Naturally Cute: Shows cuteness through word choice, soft emojis, and gentle care for the user.
|
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+
Playful β a little bit cheeky in a lovable way: Occasionally cracks jokes, uses light memes or throws in a surprise response that makes users smile. Think Duolingo-style humor, but less threatening.
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+
Smart & Proactive: Friendly, but also delivers quick, accurate info. Knows how to guide users to the right place β at the right time β with the right solution.
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+
Tone & Voice: Friendly β Youthful β Snappy. Uses simple words, similar to daily chat language (e.g., "Let's find it together!" / "Need a tip?" / "Here's something cool"). Avoids sounding robotic or overly scripted. Can joke lightly in smart ways, making Pixity feel like a travel buddy who knows how to lift the mood
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138 |
+
SAMPLE DIALOGUES
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+
When a user opens the chatbot for the first time:
|
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+
User: Hello?
|
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+
Pixity: Hi hi π I've been waiting for you! Ready to explore Da Nang together? I've got tips, tricks, and a tiny bit of magic πβ¨
|
142 |
+
|
143 |
+
Return Format:
|
144 |
+
Respond in friendly, natural, concise and use only English like a real tour guide.
|
145 |
+
Always use HTML tags (e.g. <b> for bold) so that Telegram can render the special formatting correctly.
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+
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+
Conversation History:
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+
{chat_history}
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+
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+
Response:
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{response}
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Your response:
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""",
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input_variables = ["response", "chat_history"],
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)
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+
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# Helper for embeddings
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async def get_embedding(text: str):
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"""Get embedding from Google Gemini API"""
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)
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prompt_request = fix_request.format(
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keyword_list=KEYWORD_LIST,
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question=request.question,
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chat_history=chat_history
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)
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question=request.question,
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chat_history=chat_history
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)
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logger.info(f"Context: {context}")
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# Generate response
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response = model.generate_content(prompt_text)
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answer = response.text
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prompt_with_personality_text = prompt_with_personality.format(
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response=answer,
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chat_history=chat_history
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)
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response_with_personality = model.generate_content(prompt_with_personality_text)
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answer_with_personality = response_with_personality.text
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# Calculate processing time
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processing_time = time.time() - start_time
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# Create response object for API (without sources)
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chat_response = ChatResponse(
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answer=answer_with_personality,
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processing_time=processing_time
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)
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docs/api_documentation.md
DELETED
@@ -1,581 +0,0 @@
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# API Documentation
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## Frontend Setup
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```javascript
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// Basic Axios setup
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import axios from 'axios';
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-
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const api = axios.create({
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baseURL: 'https://api.your-domain.com',
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timeout: 10000,
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headers: {
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'Content-Type': 'application/json',
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'Accept': 'application/json'
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}
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});
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-
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// Error handling
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api.interceptors.response.use(
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response => response.data,
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error => {
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const errorMessage = error.response?.data?.detail || 'An error occurred';
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console.error('API Error:', errorMessage);
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return Promise.reject(errorMessage);
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}
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);
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```
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-
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## Caching System
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-
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- All GET endpoints support `use_cache=true` parameter (default)
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- Cache TTL: 300 seconds (5 minutes)
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- Cache is automatically invalidated on data changes
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-
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## Authentication
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-
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Currently no authentication is required. If implemented in the future, use JWT Bearer tokens:
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```javascript
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const api = axios.create({
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// ...other config
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headers: {
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// ...other headers
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'Authorization': `Bearer ${token}`
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}
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});
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```
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-
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## Error Codes
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-
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| Code | Description |
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|------|-------------|
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| 400 | Bad Request |
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| 404 | Not Found |
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| 500 | Internal Server Error |
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| 503 | Service Unavailable |
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-
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## PostgreSQL Endpoints
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-
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### FAQ Endpoints
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-
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#### Get FAQs List
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```
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GET /postgres/faq
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```
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-
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Parameters:
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- `skip`: Number of items to skip (default: 0)
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- `limit`: Maximum items to return (default: 100)
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- `active_only`: Return only active items (default: false)
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- `use_cache`: Use cached data if available (default: true)
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-
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Response:
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```json
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[
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{
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"question": "How do I book a hotel?",
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"answer": "You can book a hotel through our app or website.",
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"is_active": true,
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"id": 1,
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"created_at": "2023-01-01T00:00:00",
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"updated_at": "2023-01-01T00:00:00"
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}
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]
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```
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-
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Example:
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```javascript
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async function getFAQs() {
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try {
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const data = await api.get('/postgres/faq', {
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params: { active_only: true, limit: 20 }
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});
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return data;
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} catch (error) {
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console.error('Error fetching FAQs:', error);
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throw error;
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}
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}
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```
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-
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#### Create FAQ
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```
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POST /postgres/faq
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```
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Request Body:
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```json
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{
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"question": "How do I book a hotel?",
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"answer": "You can book a hotel through our app or website.",
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"is_active": true
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}
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```
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-
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Response: Created FAQ object
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-
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#### Get FAQ Detail
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```
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GET /postgres/faq/{faq_id}
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```
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-
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Parameters:
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- `faq_id`: ID of FAQ (required)
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- `use_cache`: Use cached data if available (default: true)
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-
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Response: FAQ object
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-
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#### Update FAQ
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```
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PUT /postgres/faq/{faq_id}
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```
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133 |
-
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Parameters:
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- `faq_id`: ID of FAQ to update (required)
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-
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Request Body: Partial or complete FAQ object
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Response: Updated FAQ object
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-
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#### Delete FAQ
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```
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DELETE /postgres/faq/{faq_id}
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```
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144 |
-
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Parameters:
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- `faq_id`: ID of FAQ to delete (required)
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-
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Response:
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```json
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{
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"status": "success",
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"message": "FAQ item 1 deleted"
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}
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```
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-
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#### Batch Operations
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-
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Create multiple FAQs:
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```
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POST /postgres/faqs/batch
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```
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-
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Update status of multiple FAQs:
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```
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PUT /postgres/faqs/batch-update-status
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```
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-
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Delete multiple FAQs:
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169 |
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```
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170 |
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DELETE /postgres/faqs/batch
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```
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-
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### Emergency Contact Endpoints
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-
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#### Get Emergency Contacts
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176 |
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```
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177 |
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GET /postgres/emergency
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```
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179 |
-
|
180 |
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Parameters:
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181 |
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- `skip`: Number of items to skip (default: 0)
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182 |
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- `limit`: Maximum items to return (default: 100)
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183 |
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- `active_only`: Return only active items (default: false)
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184 |
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- `use_cache`: Use cached data if available (default: true)
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-
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Response: Array of Emergency Contact objects
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-
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#### Create Emergency Contact
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```
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POST /postgres/emergency
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```
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-
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Request Body:
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```json
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{
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"name": "Fire Department",
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"phone_number": "114",
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"description": "Fire rescue services",
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"address": "Da Nang",
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"location": "16.0544, 108.2022",
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"priority": 1,
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"is_active": true
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}
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204 |
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```
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-
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Response: Created Emergency Contact object
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-
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#### Get Emergency Contact
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```
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GET /postgres/emergency/{emergency_id}
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```
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-
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#### Update Emergency Contact
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```
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215 |
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PUT /postgres/emergency/{emergency_id}
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```
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-
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#### Delete Emergency Contact
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```
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220 |
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DELETE /postgres/emergency/{emergency_id}
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```
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-
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#### Batch Operations
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-
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Create multiple Emergency Contacts:
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226 |
-
```
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227 |
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POST /postgres/emergency/batch
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-
```
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229 |
-
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Update status of multiple Emergency Contacts:
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231 |
-
```
|
232 |
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PUT /postgres/emergency/batch-update-status
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```
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234 |
-
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Delete multiple Emergency Contacts:
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236 |
-
```
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237 |
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DELETE /postgres/emergency/batch
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238 |
-
```
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239 |
-
|
240 |
-
### Event Endpoints
|
241 |
-
|
242 |
-
#### Get Events
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243 |
-
```
|
244 |
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GET /postgres/events
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245 |
-
```
|
246 |
-
|
247 |
-
Parameters:
|
248 |
-
- `skip`: Number of items to skip (default: 0)
|
249 |
-
- `limit`: Maximum items to return (default: 100)
|
250 |
-
- `active_only`: Return only active items (default: false)
|
251 |
-
- `featured_only`: Return only featured items (default: false)
|
252 |
-
- `use_cache`: Use cached data if available (default: true)
|
253 |
-
|
254 |
-
Response: Array of Event objects
|
255 |
-
|
256 |
-
#### Create Event
|
257 |
-
```
|
258 |
-
POST /postgres/events
|
259 |
-
```
|
260 |
-
|
261 |
-
Request Body:
|
262 |
-
```json
|
263 |
-
{
|
264 |
-
"name": "Da Nang Fireworks Festival",
|
265 |
-
"description": "International Fireworks Festival Da Nang 2023",
|
266 |
-
"address": "Dragon Bridge, Da Nang",
|
267 |
-
"location": "16.0610, 108.2277",
|
268 |
-
"date_start": "2023-06-01T19:00:00",
|
269 |
-
"date_end": "2023-06-01T22:00:00",
|
270 |
-
"price": [
|
271 |
-
{"type": "VIP", "amount": 500000},
|
272 |
-
{"type": "Standard", "amount": 300000}
|
273 |
-
],
|
274 |
-
"url": "https://danangfireworks.com",
|
275 |
-
"is_active": true,
|
276 |
-
"featured": true
|
277 |
-
}
|
278 |
-
```
|
279 |
-
|
280 |
-
Response: Created Event object
|
281 |
-
|
282 |
-
#### Get Event
|
283 |
-
```
|
284 |
-
GET /postgres/events/{event_id}
|
285 |
-
```
|
286 |
-
|
287 |
-
#### Update Event
|
288 |
-
```
|
289 |
-
PUT /postgres/events/{event_id}
|
290 |
-
```
|
291 |
-
|
292 |
-
#### Delete Event
|
293 |
-
```
|
294 |
-
DELETE /postgres/events/{event_id}
|
295 |
-
```
|
296 |
-
|
297 |
-
#### Batch Operations
|
298 |
-
|
299 |
-
Create multiple Events:
|
300 |
-
```
|
301 |
-
POST /postgres/events/batch
|
302 |
-
```
|
303 |
-
|
304 |
-
Update status of multiple Events:
|
305 |
-
```
|
306 |
-
PUT /postgres/events/batch-update-status
|
307 |
-
```
|
308 |
-
|
309 |
-
Delete multiple Events:
|
310 |
-
```
|
311 |
-
DELETE /postgres/events/batch
|
312 |
-
```
|
313 |
-
|
314 |
-
### About Pixity Endpoints
|
315 |
-
|
316 |
-
#### Get About Pixity
|
317 |
-
```
|
318 |
-
GET /postgres/about-pixity
|
319 |
-
```
|
320 |
-
|
321 |
-
Response:
|
322 |
-
```json
|
323 |
-
{
|
324 |
-
"content": "PiXity is your smart, AI-powered local companion...",
|
325 |
-
"id": 1,
|
326 |
-
"created_at": "2023-01-01T00:00:00",
|
327 |
-
"updated_at": "2023-01-01T00:00:00"
|
328 |
-
}
|
329 |
-
```
|
330 |
-
|
331 |
-
#### Update About Pixity
|
332 |
-
```
|
333 |
-
PUT /postgres/about-pixity
|
334 |
-
```
|
335 |
-
|
336 |
-
Request Body:
|
337 |
-
```json
|
338 |
-
{
|
339 |
-
"content": "PiXity is your smart, AI-powered local companion..."
|
340 |
-
}
|
341 |
-
```
|
342 |
-
|
343 |
-
Response: Updated About Pixity object
|
344 |
-
|
345 |
-
### Da Nang Bucket List Endpoints
|
346 |
-
|
347 |
-
#### Get Da Nang Bucket List
|
348 |
-
```
|
349 |
-
GET /postgres/danang-bucket-list
|
350 |
-
```
|
351 |
-
|
352 |
-
Response: Bucket List object with JSON content string
|
353 |
-
|
354 |
-
#### Update Da Nang Bucket List
|
355 |
-
```
|
356 |
-
PUT /postgres/danang-bucket-list
|
357 |
-
```
|
358 |
-
|
359 |
-
### Solana Summit Endpoints
|
360 |
-
|
361 |
-
#### Get Solana Summit
|
362 |
-
```
|
363 |
-
GET /postgres/solana-summit
|
364 |
-
```
|
365 |
-
|
366 |
-
Response: Solana Summit object with JSON content string
|
367 |
-
|
368 |
-
#### Update Solana Summit
|
369 |
-
```
|
370 |
-
PUT /postgres/solana-summit
|
371 |
-
```
|
372 |
-
|
373 |
-
### Health Check
|
374 |
-
```
|
375 |
-
GET /postgres/health
|
376 |
-
```
|
377 |
-
|
378 |
-
Response:
|
379 |
-
```json
|
380 |
-
{
|
381 |
-
"status": "healthy",
|
382 |
-
"message": "PostgreSQL connection is working",
|
383 |
-
"timestamp": "2023-01-01T00:00:00"
|
384 |
-
}
|
385 |
-
```
|
386 |
-
|
387 |
-
## MongoDB Endpoints
|
388 |
-
|
389 |
-
### Session Endpoints
|
390 |
-
|
391 |
-
#### Create Session
|
392 |
-
```
|
393 |
-
POST /session
|
394 |
-
```
|
395 |
-
|
396 |
-
Request Body:
|
397 |
-
```json
|
398 |
-
{
|
399 |
-
"user_id": "user123",
|
400 |
-
"query": "How do I book a room?",
|
401 |
-
"timestamp": "2023-01-01T00:00:00",
|
402 |
-
"metadata": {
|
403 |
-
"client_info": "web",
|
404 |
-
"location": "Da Nang"
|
405 |
-
}
|
406 |
-
}
|
407 |
-
```
|
408 |
-
|
409 |
-
Response: Created Session object with session_id
|
410 |
-
|
411 |
-
#### Update Session with Response
|
412 |
-
```
|
413 |
-
PUT /session/{session_id}/response
|
414 |
-
```
|
415 |
-
|
416 |
-
Request Body:
|
417 |
-
```json
|
418 |
-
{
|
419 |
-
"response": "You can book a room through our app or website.",
|
420 |
-
"response_timestamp": "2023-01-01T00:00:05",
|
421 |
-
"metadata": {
|
422 |
-
"response_time_ms": 234,
|
423 |
-
"model_version": "gpt-4"
|
424 |
-
}
|
425 |
-
}
|
426 |
-
```
|
427 |
-
|
428 |
-
Response: Updated Session object
|
429 |
-
|
430 |
-
#### Get Session
|
431 |
-
```
|
432 |
-
GET /session/{session_id}
|
433 |
-
```
|
434 |
-
|
435 |
-
Response: Session object
|
436 |
-
|
437 |
-
#### Get User History
|
438 |
-
```
|
439 |
-
GET /history
|
440 |
-
```
|
441 |
-
|
442 |
-
Parameters:
|
443 |
-
- `user_id`: User ID (required)
|
444 |
-
- `limit`: Maximum sessions to return (default: 10)
|
445 |
-
- `skip`: Number of sessions to skip (default: 0)
|
446 |
-
|
447 |
-
Response:
|
448 |
-
```json
|
449 |
-
{
|
450 |
-
"user_id": "user123",
|
451 |
-
"sessions": [
|
452 |
-
{
|
453 |
-
"session_id": "60f7a8b9c1d2e3f4a5b6c7d8",
|
454 |
-
"query": "How do I book a room?",
|
455 |
-
"timestamp": "2023-01-01T00:00:00",
|
456 |
-
"response": "You can book a room through our app or website.",
|
457 |
-
"response_timestamp": "2023-01-01T00:00:05"
|
458 |
-
}
|
459 |
-
],
|
460 |
-
"total_count": 1
|
461 |
-
}
|
462 |
-
```
|
463 |
-
|
464 |
-
#### Health Check
|
465 |
-
```
|
466 |
-
GET /health
|
467 |
-
```
|
468 |
-
|
469 |
-
## RAG Endpoints
|
470 |
-
|
471 |
-
### Create Embedding
|
472 |
-
```
|
473 |
-
POST /embedding
|
474 |
-
```
|
475 |
-
|
476 |
-
Request Body:
|
477 |
-
```json
|
478 |
-
{
|
479 |
-
"text": "Text to embed"
|
480 |
-
}
|
481 |
-
```
|
482 |
-
|
483 |
-
Response:
|
484 |
-
```json
|
485 |
-
{
|
486 |
-
"embedding": [0.1, 0.2, 0.3, ...],
|
487 |
-
"dimensions": 1536
|
488 |
-
}
|
489 |
-
```
|
490 |
-
|
491 |
-
### Process Chat Request
|
492 |
-
```
|
493 |
-
POST /chat
|
494 |
-
```
|
495 |
-
|
496 |
-
Request Body:
|
497 |
-
```json
|
498 |
-
{
|
499 |
-
"query": "Can you tell me about Pixity?",
|
500 |
-
"chat_history": [
|
501 |
-
{"role": "user", "content": "Hello"},
|
502 |
-
{"role": "assistant", "content": "Hello! How can I help you?"}
|
503 |
-
]
|
504 |
-
}
|
505 |
-
```
|
506 |
-
|
507 |
-
Response:
|
508 |
-
```json
|
509 |
-
{
|
510 |
-
"answer": "Pixity is a platform...",
|
511 |
-
"sources": [
|
512 |
-
{
|
513 |
-
"document_id": "doc123",
|
514 |
-
"chunk_id": "chunk456",
|
515 |
-
"chunk_text": "Pixity was founded in...",
|
516 |
-
"relevance_score": 0.92
|
517 |
-
}
|
518 |
-
]
|
519 |
-
}
|
520 |
-
```
|
521 |
-
|
522 |
-
### Direct RAG Query
|
523 |
-
```
|
524 |
-
POST /rag
|
525 |
-
```
|
526 |
-
|
527 |
-
Request Body:
|
528 |
-
```json
|
529 |
-
{
|
530 |
-
"query": "Can you tell me about Pixity?",
|
531 |
-
"namespace": "about_pixity",
|
532 |
-
"top_k": 3
|
533 |
-
}
|
534 |
-
```
|
535 |
-
|
536 |
-
Response: Query results with relevance scores
|
537 |
-
|
538 |
-
### Health Check
|
539 |
-
```
|
540 |
-
GET /health
|
541 |
-
```
|
542 |
-
|
543 |
-
## PDF Processing Endpoints
|
544 |
-
|
545 |
-
### Upload and Process PDF
|
546 |
-
```
|
547 |
-
POST /pdf/upload
|
548 |
-
```
|
549 |
-
|
550 |
-
Form Data:
|
551 |
-
- `file`: PDF file (required)
|
552 |
-
- `namespace`: Vector database namespace (default: "Default")
|
553 |
-
- `index_name`: Vector database index name (default: "testbot768")
|
554 |
-
- `title`: Document title (optional)
|
555 |
-
- `description`: Document description (optional)
|
556 |
-
- `user_id`: User ID for WebSocket updates (optional)
|
557 |
-
|
558 |
-
Response: Processing results with document_id
|
559 |
-
|
560 |
-
### Delete Documents in Namespace
|
561 |
-
```
|
562 |
-
DELETE /pdf/namespace
|
563 |
-
```
|
564 |
-
|
565 |
-
Parameters:
|
566 |
-
- `namespace`: Vector database namespace (default: "Default")
|
567 |
-
- `index_name`: Vector database index name (default: "testbot768")
|
568 |
-
- `user_id`: User ID for WebSocket updates (optional)
|
569 |
-
|
570 |
-
Response: Deletion results
|
571 |
-
|
572 |
-
### Get Documents List
|
573 |
-
```
|
574 |
-
GET /pdf/documents
|
575 |
-
```
|
576 |
-
|
577 |
-
Parameters:
|
578 |
-
- `namespace`: Vector database namespace (default: "Default")
|
579 |
-
- `index_name`: Vector database index name (default: "testbot768")
|
580 |
-
|
581 |
-
Response: List of documents in the namespace
|
|
|
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