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Merge pull request #378 from Fyve-Labs/fix/wikipedia-pipeline
fix(wikipedia-pipeline): update wikipedia pipeline example
This commit is contained in:
Timothy Jaeryang Baek
GitHub
commit
ab9012c228
@ -1,13 +1,36 @@
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"""
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title: Wikipedia Article Retrieval
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author: Unknown
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author_url: Unknown
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git_url: https://github.com/open-webui/pipelines/blob/main/examples/pipelines/integrations/wikipedia_pipeline.py
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description: Wikipedia Search and Return
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required_open_webui_version: 0.4.3
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requirements: wikipedia
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version: 0.4.3
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licence: MIT
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"""
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from typing import List, Union, Generator, Iterator
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from pydantic import BaseModel
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from schemas import OpenAIChatMessage
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from pydantic import BaseModel, Field
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import wikipedia
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import requests
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import os
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from datetime import datetime
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import time
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import re
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from logging import getLogger
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logger = getLogger(__name__)
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logger.setLevel("DEBUG")
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class Pipeline:
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class Valves(BaseModel):
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pass
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# OPENAI_API_KEY: str = Field(default="", description="OpenAI API key")
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RATE_LIMIT: int = Field(default=5, description="Rate limit for the pipeline")
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WORD_LIMIT: int = Field(default=300, description="Word limit when getting page summary")
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WIKIPEDIA_ROOT: str = Field(default="https://en.wikipedia.org/wiki", description="Wikipedia root URL")
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def __init__(self):
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# Optionally, you can set the id and name of the pipeline.
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@ -17,53 +40,179 @@ class Pipeline:
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# self.id = "wiki_pipeline"
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self.name = "Wikipedia Pipeline"
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# Initialize rate limits
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self.valves = self.Valves(**{"OPENAI_API_KEY": os.getenv("OPENAI_API_KEY", "")})
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# Initialize valve paramaters
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self.valves = self.Valves(
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**{k: os.getenv(k, v.default) for k, v in self.Valves.model_fields.items()}
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)
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async def on_startup(self):
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# This function is called when the server is started.
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print(f"on_startup:{__name__}")
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logger.debug(f"on_startup:{self.name}")
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pass
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async def on_shutdown(self):
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# This function is called when the server is stopped.
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print(f"on_shutdown:{__name__}")
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logger.debug(f"on_shutdown:{self.name}")
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pass
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def rate_check(self, dt_start: datetime):
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"""
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Check time, sleep if not enough time has passed for rate
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Args:
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dt_start (datetime): Start time of the operation
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Returns:
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bool: True if sleep was done
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"""
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dt_end = datetime.now()
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time_diff = (dt_end - dt_start).total_seconds()
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time_buffer = (1 / self.valves.RATE_LIMIT)
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if time_diff >= time_buffer: # no need to sleep
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return False
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time.sleep(time_buffer - time_diff)
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return True
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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self,
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user_message: str,
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model_id: str,
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messages: List[dict],
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body: dict
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) -> Union[str, Generator, Iterator]:
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# This is where you can add your custom pipelines like RAG.
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print(f"pipe:{__name__}")
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"""
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Main pipeline function. Performs wikipedia article lookup by query
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and returns the summary of the first article.
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"""
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logger.debug(f"pipe:{self.name}")
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if body.get("title", False):
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print("Title Generation")
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return "Wikipedia Pipeline"
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else:
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titles = []
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for query in [user_message]:
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query = query.replace(" ", "_")
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# Check if title generation is requested
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# as of 12/28/24, these were standard greetings
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if ("broad tags categorizing" in user_message.lower()) \
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or ("Create a concise" in user_message.lower()):
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# ## Create a concise, 3-5 word title with
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# ## Task:\nGenerate 1-3 broad tags categorizing the main themes
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logger.debug(f"Title Generation (aborted): {user_message}")
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return "(title generation disabled)"
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r = requests.get(
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f"https://en.wikipedia.org/w/api.php?action=opensearch&search={query}&limit=1&namespace=0&format=json"
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)
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logger.info(f"User Message: {user_message}")
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# logger.info(f"Messages: {messages}")
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# [{'role': 'user', 'content': 'history of ibm'}]
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response = r.json()
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titles = titles + response[1]
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print(titles)
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# logger.info(f"Body: {body}")
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# {'stream': True, 'model': 'wikipedia_pipeline',
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# 'messages': [{'role': 'user', 'content': 'history of ibm'}],
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# 'user': {'name': 'User', 'id': '235a828f-84a3-44a0-b7af-721ee8be6571',
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# 'email': 'admin@localhost', 'role': 'admin'}}
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context = None
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if len(titles) > 0:
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r = requests.get(
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f"https://en.wikipedia.org/w/api.php?format=json&action=query&prop=extracts&exintro&explaintext&redirects=1&titles={'|'.join(titles)}"
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)
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response = r.json()
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# get extracts
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pages = response["query"]["pages"]
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for page in pages:
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if context == None:
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context = pages[page]["extract"] + "\n"
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else:
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context = context + pages[page]["extract"] + "\n"
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dt_start = datetime.now()
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multi_part = False
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streaming = body.get("stream", False)
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logger.warning(f"Stream: {streaming}")
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context = ""
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# examples from https://pypi.org/project/wikipedia/
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# new addition - ability to include multiple topics with a semicolon
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for query in user_message.split(';'):
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self.rate_check(dt_start)
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query = query.strip()
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if multi_part:
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if streaming:
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yield "---\n"
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else:
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context += "---\n"
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if body.get("stream", True):
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yield from self.stream_retrieve(query, dt_start)
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else:
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for chunk in self.stream_retrieve(query, dt_start):
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context += chunk
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multi_part = True
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if not streaming:
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return context if context else "No information found"
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def stream_retrieve(
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self, query:str, dt_start: datetime,
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) -> Generator:
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"""
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Retrieve the wikipedia page for the query and return the summary. Return a generator
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for streaming responses but can also be iterated for a single response.
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"""
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re_query = re.compile(r"[^0-9A-Z]", re.IGNORECASE)
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re_rough_word = re.compile(r"[\w]+", re.IGNORECASE)
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titles_found = None
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try:
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titles_found = wikipedia.search(query)
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# r = requests.get(
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# f"https://en.wikipedia.org/w/api.php?action=opensearch&search={query}&limit=1&namespace=0&format=json"
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# )
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logger.info(f"Query: {query}, Found: {titles_found}")
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except Exception as e:
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logger.error(f"Search Error: {query} -> {e}")
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yield f"Page Search Error: {query}"
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if titles_found is None or not titles_found: # no results
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yield f"No information found for '{query}'"
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return
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self.rate_check(dt_start)
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# if context: # add separator if multiple topics
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# context += "---\n"
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try:
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title_check = titles_found[0]
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wiki_page = wikipedia.page(title_check, auto_suggest=False) # trick! don't auto-suggest
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except wikipedia.exceptions.DisambiguationError as e:
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str_error = str(e).replace("\n", ", ")
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str_error = f"## Disambiguation Error ({query})\n* Status: {str_error}"
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logger.error(str_error)
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yield str_error + "\n"
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return
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except wikipedia.exceptions.RedirectError as e:
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str_error = str(e).replace("\n", ", ")
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str_error = f"## Redirect Error ({query})\n* Status: {str_error}"
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logger.error(str_error)
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yield str_error + "\n"
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return
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except Exception as e:
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if titles_found:
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str_error = f"## Page Retrieve Error ({query})\n* Found Topics (matched '{title_check}') {titles_found}"
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logger.error(f"{str_error} -> {e}")
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else:
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str_error = f"## Page Not Found ({query})\n* Unknown error"
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logger.error(f"{str_error} -> {e}")
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yield str_error + "\n"
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return
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# found a page / section
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logger.info(f"Page Sections[{query}]: {wiki_page.sections}")
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yield f"## {title_check}\n"
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# flatten internal links
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# link_md = [f"[{x}]({self.valves.WIKIPEDIA_ROOT}/{re_query.sub('_', x)})" for x in wiki_page.links[:10]]
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# yield "* Links (first 30): " + ",".join(link_md) + "\n"
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# add the textual summary
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summary_full = wiki_page.summary
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word_positions = [x.start() for x in re_rough_word.finditer(summary_full)]
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if len(word_positions) > self.valves.WORD_LIMIT:
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yield summary_full[:word_positions[self.valves.WORD_LIMIT]] + "...\n"
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else:
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yield summary_full + "\n"
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# the more you know! link to further reading
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yield "### Learn More" + "\n"
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yield f"* [Read more on Wikipedia...]({wiki_page.url})\n"
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# also spit out the related topics from search
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link_md = [f"[{x}]({self.valves.WIKIPEDIA_ROOT}/{re_query.sub('_', x)})" for x in titles_found]
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yield f"* Related topics: {', '.join(link_md)}\n"
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# throw in the first image for good measure
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if wiki_page.images:
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yield f"\n\n"
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return
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