199 lines
8.0 KiB
Python
199 lines
8.0 KiB
Python
#!/usr/bin/env python3.12
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import importlib
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import logging
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import regex
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from aiohttp import ClientSession, ClientTimeout
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from fastapi import FastAPI, Security, Request, HTTPException
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from fastapi.security import APIKeyHeader, APIKeyQuery
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from pydantic import BaseModel
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class ValidAISongRequest(BaseModel):
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"""
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- **a**: artist
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- **s**: track title
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"""
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a: str
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s: str
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class AI(FastAPI):
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"""AI Endpoints"""
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def __init__(self, app: FastAPI, my_util, constants, glob_state): # pylint: disable=super-init-not-called
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self.app = app
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self.util = my_util
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self.constants = constants
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self.glob_state = glob_state
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self.url_clean_regex = regex.compile(r'^\/ai\/(openai|base)\/')
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self.endpoints = {
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"ai/openai": self.ai_openai_handler,
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"ai/base": self.ai_handler,
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"ai/song": self.ai_song_handler
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#tbd
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}
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for endpoint, handler in self.endpoints.items():
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app.add_api_route(f"/{endpoint}/{{any:path}}", handler, methods=["POST"])
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async def ai_handler(self, request: Request):
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"""
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/ai/base/
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AI BASE Request
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"""
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if not self.util.check_key(request.url.path, request.headers.get('X-Authd-With')):
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raise HTTPException(status_code=403, detail="Unauthorized")
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local_llm_headers = {
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'Authorization': f'Bearer {self.constants.LOCAL_LLM_KEY}'
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}
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forward_path = self.url_clean_regex.sub('', request.url.path)
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try:
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async with ClientSession() as session:
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async with await session.post(f'{self.constants.LOCAL_LLM_BASE}/{forward_path}',
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json=await request.json(),
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headers=local_llm_headers,
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timeout=ClientTimeout(connect=15, sock_read=30)) as out_request:
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await self.glob_state.increment_counter('ai_requests')
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response = await out_request.json()
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return response
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except Exception as e: # pylint: disable=broad-exception-caught
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logging.error("Error: %s", e)
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return {
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'err': True,
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'errorText': 'General Failure'
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}
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async def ai_openai_handler(self, request: Request):
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"""
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/ai/openai/
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AI Request
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"""
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if not self.util.check_key(request.url.path, request.headers.get('X-Authd-With')):
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raise HTTPException(status_code=403, detail="Unauthorized")
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"""
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TODO: Implement Claude
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Currently only routes to local LLM
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"""
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local_llm_headers = {
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'Authorization': f'Bearer {self.constants.LOCAL_LLM_KEY}'
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}
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forward_path = self.url_clean_regex.sub('', request.url.path)
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try:
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async with ClientSession() as session:
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async with await session.post(f'{self.constants.LOCAL_LLM_HOST}/{forward_path}',
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json=await request.json(),
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headers=local_llm_headers,
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timeout=ClientTimeout(connect=15, sock_read=30)) as out_request:
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await self.glob_state.increment_counter('ai_requests')
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response = await out_request.json()
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return response
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except Exception as e: # pylint: disable=broad-exception-caught
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logging.error("Error: %s", e)
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return {
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'err': True,
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'errorText': 'General Failure'
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}
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"""
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CLAUDE BELOW, COMMENTED
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"""
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async def ai_song_handler(self, data: ValidAISongRequest, request: Request):
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"""
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/ai/song/
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AI (Song Info) Request [Public]
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"""
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ai_prompt = "You are a helpful assistant who will provide tidbits of info on songs the user may listen to."
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ai_question = f"I am going to listen to the song \"{data.s}\" by \"{data.a}\"."
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local_llm_headers = {
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'x-api-key': self.constants.CLAUDE_API_KEY,
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'anthropic-version': '2023-06-01',
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'content-type': 'application/json',
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}
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request_data = {
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'model': 'claude-3-haiku-20240307',
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'max_tokens': 512,
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'temperature': 0.6,
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'system': ai_prompt,
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'messages': [
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{
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"role": "user",
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"content": ai_question.strip(),
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}
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]
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}
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try:
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async with ClientSession() as session:
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async with await session.post('https://api.anthropic.com/v1/messages',
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json=request_data,
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headers=local_llm_headers,
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timeout=ClientTimeout(connect=15, sock_read=30)) as request:
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await self.glob_state.increment_counter('claude_ai_requests')
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response = await request.json()
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print(f"Response: {response}")
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result = {
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'resp': response.get('content')[0].get('text').strip()
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}
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return result
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except Exception as e: # pylint: disable=broad-exception-caught
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logging.error("Error: %s", e)
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return {
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'err': True,
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'errorText': 'General Failure'
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}
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# async def ai_song_handler(self, data: ValidAISongRequest, request: Request):
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# """
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# /ai/song/
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# AI (Song Info) Request [Public]
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# """
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# ai_question = f"I am going to listen to the song \"{data.s}\" by \"{data.a}\"."
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# local_llm_headers = {
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# 'Authorization': f'Bearer {self.constants.LOCAL_LLM_KEY}'
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# }
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# ai_req_data = {
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# 'max_context_length': 8192,
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# 'max_length': 256,
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# 'temperature': 0.3,
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# 'quiet': 1,
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# 'bypass_eos': False,
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# 'trim_stop': True,
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# 'sampler_order': [6,0,1,3,4,2,5],
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# 'memory': "You are a helpful assistant who will provide only totally accurate tidbits of info on songs the user may listen to. You do not include information about which album a song was released on, or when it was released, and do not mention that you are not including this information in your response. If the input provided is not a song you are aware of, simply state that. Begin your output at your own response.",
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# 'stop': ['### Inst', '### Resp'],
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# 'prompt': ai_question
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# }
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# try:
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# async with ClientSession() as session:
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# async with await session.post(f'{self.constants.LOCAL_LLM_BASE}/generate',
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# json=ai_req_data,
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# headers=local_llm_headers,
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# timeout=ClientTimeout(connect=15, sock_read=30)) as request:
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# await self.glob_state.increment_counter('ai_requests')
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# response = await request.json()
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# result = {
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# 'resp': response.get('results')[0].get('text').strip()
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# }
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# return result
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# except Exception as e: # pylint: disable=broad-exception-caught
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# logging.error("Error: %s", e)
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# return {
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# 'err': True,
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# 'errorText': 'General Failure'
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# } |