From 1a4ae6735d4ad3112fc1c48496e216f6d69ff675 Mon Sep 17 00:00:00 2001 From: Julius Unverfehrt Date: Thu, 16 Mar 2023 17:32:32 +0100 Subject: [PATCH] add table processing time monitoring --- Dockerfile | 5 +- incl/pyinfra | 2 +- poetry.lock | 4375 +++++++++++++++++++++++----------------------- pyproject.toml | 2 - requirements.txt | 2 - src/serve.py | 20 +- 6 files changed, 2190 insertions(+), 2216 deletions(-) diff --git a/Dockerfile b/Dockerfile index 3d7768c..04a772e 100644 --- a/Dockerfile +++ b/Dockerfile @@ -10,15 +10,12 @@ WORKDIR /app/service COPY ./requirements.txt ./requirements.txt RUN python3 -m pip install -r requirements.txt -COPY ./incl/pyinfra/requirements.txt ./incl/pyinfra/requirements.txt -RUN python -m pip install -r incl/pyinfra/requirements.txt - COPY ./incl/pdf2image/requirements.txt ./incl/pdf2image/requirements.txt RUN python -m pip install -r incl/pdf2image/requirements.txt COPY ./incl ./incl -RUN python3 -m pip install -e incl/pyinfra +RUN python3 -m pip install incl/pyinfra RUN python3 -m pip install -e incl/pdf2image COPY ./src ./src diff --git a/incl/pyinfra b/incl/pyinfra index 4615703..ff6f437 160000 --- a/incl/pyinfra +++ b/incl/pyinfra @@ -1 +1 @@ -Subproject commit 46157031b588b4bda03f8ddbb9c2e2fadbb47af5 +Subproject commit ff6f437e8491d48c1e0ccb08ad7b164477e15fbe diff --git a/poetry.lock b/poetry.lock index cd0f231..3317be0 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,3 +1,5 @@ +# This file is automatically @generated by Poetry and should not be changed by hand. + [[package]] name = "aiohttp" version = "3.8.3" @@ -5,2051 +7,7 @@ description = "Async http client/server framework (asyncio)" category = "main" optional = false python-versions = ">=3.6" - 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a/pyproject.toml b/pyproject.toml index 15bc92e..ec18769 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,8 +23,6 @@ dvc-ssh = "^2.20.0" scipy = "^1.8.0" coverage = "^5.5" dependency-check = "^0.6.0" -prometheus-client = "^0.13.1" -prometheus_flask_exporter = "^0.19.0" lorem-text = "^2.1" PyMuPDF = "^1.19.6" diff --git a/requirements.txt b/requirements.txt index de53279..81f1542 100644 --- a/requirements.txt +++ b/requirements.txt @@ -14,8 +14,6 @@ dvc[ssh] scipy~=1.8.0 coverage~=5.5 dependency-check~=0.6.0 -prometheus-client~=0.13.1 -prometheus_flask_exporter~=0.19.0 lorem-text==2.1 # pdf2array diff --git a/src/serve.py b/src/serve.py index c384aa3..da461bc 100644 --- a/src/serve.py +++ b/src/serve.py @@ -3,10 +3,13 @@ import json import logging from operator import itemgetter +from funcy import compose + from cv_analysis.config import get_config from cv_analysis.server.pipeline import get_analysis_pipeline from cv_analysis.utils.banner import make_art from pyinfra import config as pyinfra_config +from pyinfra.payload_processing.monitor import get_monitor from pyinfra.queue.queue_manager import QueueManager from pyinfra.storage.storage import get_storage @@ -16,6 +19,10 @@ CV_CONFIG = get_config() logging.basicConfig(level=PYINFRA_CONFIG.logging_level_root) +# TODO: add kwargs/ operation key passing to processing fn in pyinfra PayloadProcessor be able to use it here. +MONITOR = get_monitor(PYINFRA_CONFIG) + + def analysis_callback(queue_message: dict): dossier_id, file_id, target_file_ext, response_file_ext, operation = itemgetter( @@ -29,18 +36,23 @@ def analysis_callback(queue_message: dict): if storage.exists(bucket, object_name): object_bytes = gzip.decompress(storage.get_object(bucket, object_name)) - analysis_fn = get_analysis_pipeline(operation, CV_CONFIG.table_parsing_skip_pages_without_images) + analysis_fn = MONITOR( + compose( + list, + get_analysis_pipeline(operation, CV_CONFIG.table_parsing_skip_pages_without_images), + ) + ) - results = analysis_fn(object_bytes) + results = list(analysis_fn(object_bytes)) logging.info("predictions ready for file_id=%s and dossier_id=%s", file_id, dossier_id) - response = {**queue_message, "data": list(results)} + response = {**queue_message, "data": results} response = gzip.compress(json.dumps(response).encode()) response_name = f"{dossier_id}/{file_id}.{response_file_ext}" logging.info("storing predictions for file_id=%s and dossier_id=%s", file_id, dossier_id) storage.put_object(bucket, response_name, response) - + return {"dossierId": dossier_id, "fileId": file_id} else: