From feabb681e858877433c20fe2aaf9839c079f8e26 Mon Sep 17 00:00:00 2001 From: Paul Walko Date: Fri, 12 Dec 2025 17:42:40 +0100 Subject: [PATCH] docs, py 3.14 --- .tool-versions | 1 + poller/README.md | 14 +++- poller/main.py | 11 ---- poller/pyproject.toml | 5 +- poller/search.py | 48 -------------- poller/uv.lock | 135 --------------------------------------- web/agent/pyproject.toml | 6 +- web/agent/uv.lock | 74 ++++++++++----------- 8 files changed, 54 insertions(+), 240 deletions(-) delete mode 100644 poller/search.py diff --git a/.tool-versions b/.tool-versions index 9d70911..20f1c40 100644 --- a/.tool-versions +++ b/.tool-versions @@ -1 +1,2 @@ nodejs 24.11.1 +python 3.14.2t diff --git a/poller/README.md b/poller/README.md index 39aefe8..b387771 100644 --- a/poller/README.md +++ b/poller/README.md @@ -1,6 +1,14 @@ # poller -https://min.io/docs/minio/linux/developers/python/API.html#presigned-get-object-bucket-name-object-name-expires-timedelta-days-7-response-headers-none-request-date-none-version-id-none-extra-query-params-none +Processes documents and indexes them to be searched. -## TODO -- claude exponential backoff +Every 5 minutes, this polls for new documents as follows: +1. Moves any documents from `s3://cavepediav2-import` to `s3://cavepediav2-files` and updates the `metadata` table. + * This table has a `split` column, indicating if the file has been split into individual pages. +2. Checks the `metadata` table for any unsplit files, then splits them and stores the pages in `s3://cavepediav2-pages` and creates an row in the `embeddings` table for each page. +3. Checks claude for any OCR batches that have finished, then stores the results in the `embeddings` table. +4. Checks the `embeddings` table for un-OCR'd pages and batches them in groups of 1000 to be OCR'd by claude. + * Only 1 batch is created per 5 minutes, as it can be easy to overload the server hosting the files. + * A temporary public S3 file link is generated using a presigned s3 url. +5. Checks the `embeddings` table for any rows that have been OCR'd, but do not have embeddings generated, then generates embeddings with cohere. + * No batching is used with cohere. diff --git a/poller/main.py b/poller/main.py index 2e93aec..cad4a03 100644 --- a/poller/main.py +++ b/poller/main.py @@ -304,17 +304,6 @@ def embeddings_main(): conn.execute('UPDATE embeddings SET embedding = %s::vector WHERE id = %s;', (embedding, row['id'])) conn.commit() -# try: -# ai_ocr = ocr(bucket, key) -# text = ai_ocr.content[0].text -# -# embedding=embed(text, 'search_document') -# conn.execute('UPDATE embeddings SET content = %s, embedding = %s::vector WHERE bucket = %s AND key = %s;', (text, embedding, bucket, key)) -# conn.commit() -# except Exception as e: -# logger.error(f"An unexpected error occurred: {e}") -# return True - ### embeddings def embed(text, input_type): max_retries = 3 diff --git a/poller/pyproject.toml b/poller/pyproject.toml index 1792525..a8fda24 100644 --- a/poller/pyproject.toml +++ b/poller/pyproject.toml @@ -1,14 +1,13 @@ [project] name = "poller" -version = "0.1.0" -description = "Add your description here" +version = "1.0.0" +description = "Cavepedia v2 Poller" readme = "README.md" requires-python = ">=3.11" dependencies = [ "anthropic>=0.52.0", "boto3>=1.42.4", "cohere>=5.15.0", - "minio>=7.2.15", "mypy>=1.15.0", "pgvector>=0.4.1", "psycopg[binary]>=3.2.9", diff --git a/poller/search.py b/poller/search.py deleted file mode 100644 index b8399b7..0000000 --- a/poller/search.py +++ /dev/null @@ -1,48 +0,0 @@ -from pgvector.psycopg import register_vector, Bit -from psycopg.rows import dict_row -from urllib.parse import unquote -import anthropic -import cohere -import dotenv -import datetime -import json -import minio -import numpy as np -import os -import psycopg -import time - -dotenv.load_dotenv('/home/paul/scripts-private/lech/cavepedia-v2/poller.env') - -COHERE_API_KEY = os.getenv('COHERE_API_KEY') - -co = cohere.ClientV2(COHERE_API_KEY) -conn = psycopg.connect( - host='127.0.0.1', - port=4010, - dbname='cavepediav2_db', - user='cavepediav2_user', - password='cavepediav2_pw', - row_factory=dict_row, -) - -def embed(text, input_type): - resp = co.embed( - texts=[text], - model='embed-v4.0', - input_type=input_type, - embedding_types=['float'], - ) - return resp.embeddings.float[0] - 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