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20 changed files with 2484 additions and 102260 deletions

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@ -13,8 +13,27 @@ variables:
IMAGENAME: $CI_PROJECT_NAME # if the project URL is gitlab.example.com/group-name/project-1, CI_PROJECT_NAME is project-1 IMAGENAME: $CI_PROJECT_NAME # if the project URL is gitlab.example.com/group-name/project-1, CI_PROJECT_NAME is project-1
pages: pages:
only: stage: unit-tests
- master # KEEP THIS, necessary because `master` branch and not `main` branch before_script:
- !reference [.activate-venv, script]
script:
- sphinx-apidoc ./src -o ./docs/source/modules --no-toc --module-first --follow-links --separate --force
- sphinx-build -b html docs/source/ public/ -E -a
artifacts:
paths:
- public
# only:
# - main
stages:
- data
- setup
- unit-tests
- versioning
- build
- integration-tests
- release
################### ###################
# INTEGRATION TESTS # INTEGRATION TESTS

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@ -13,7 +13,9 @@ logger.add(sys.stdout, level="INFO")
def bashcmd(cmds: list) -> str: def bashcmd(cmds: list) -> str:
try: try:
logger.debug(f"running: {' '.join(cmds)}") logger.debug(f"running: {' '.join(cmds)}")
return subprocess.run(cmds, check=True, capture_output=True, text=True).stdout.strip("\n") return subprocess.run(
cmds, check=True, capture_output=True, text=True
).stdout.strip("\n")
except: except:
logger.warning(f"Error executing the following bash command: {' '.join(cmds)}.") logger.warning(f"Error executing the following bash command: {' '.join(cmds)}.")
raise raise

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@ -5,7 +5,7 @@ default_language_version:
python: python3.10 python: python3.10
repos: repos:
- repo: https://github.com/pre-commit/pre-commit-hooks - repo: https://github.com/pre-commit/pre-commit-hooks
rev: v5.0.0 rev: v4.5.0
hooks: hooks:
- id: trailing-whitespace - id: trailing-whitespace
- id: end-of-file-fixer - id: end-of-file-fixer
@ -34,7 +34,7 @@ repos:
- --profile black - --profile black
- repo: https://github.com/psf/black - repo: https://github.com/psf/black
rev: 24.10.0 rev: 24.3.0
hooks: hooks:
- id: black - id: black
# exclude: ^(docs/|notebooks/|data/|src/secrets/) # exclude: ^(docs/|notebooks/|data/|src/secrets/)
@ -42,7 +42,7 @@ repos:
- --line-length=120 - --line-length=120
- repo: https://github.com/compilerla/conventional-pre-commit - repo: https://github.com/compilerla/conventional-pre-commit
rev: v4.0.0 rev: v3.2.0
hooks: hooks:
- id: conventional-pre-commit - id: conventional-pre-commit
pass_filenames: false pass_filenames: false

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@ -1,22 +1,11 @@
[asyncio]
max_concurrent_tasks = 10
[dynamic_tenant_queues]
enabled = true
[metrics.prometheus] [metrics.prometheus]
enabled = true enabled = true
prefix = "redactmanager_cv_analysis_service" prefix = "redactmanager_cv_analysis_service"
[tracing]
enabled = true
# possible values "opentelemetry" | "azure_monitor" (Excpects APPLICATIONINSIGHTS_CONNECTION_STRING environment variable.)
type = "azure_monitor"
[tracing.opentelemetry] [tracing.opentelemetry]
enabled = true
endpoint = "http://otel-collector-opentelemetry-collector.otel-collector:4318/v1/traces" endpoint = "http://otel-collector-opentelemetry-collector.otel-collector:4318/v1/traces"
service_name = "redactmanager_cv_analysis_service" service_name = "redactmanager_cv_analyisis_service"
exporter = "otlp" exporter = "otlp"
[webserver] [webserver]
@ -36,15 +25,6 @@ input_queue = "request_queue"
output_queue = "response_queue" output_queue = "response_queue"
dead_letter_queue = "dead_letter_queue" dead_letter_queue = "dead_letter_queue"
tenant_event_queue_suffix = "_tenant_event_queue"
tenant_event_dlq_suffix = "_tenant_events_dlq"
tenant_exchange_name = "tenants-exchange"
queue_expiration_time = 300000 # 5 minutes in milliseconds
service_request_queue_prefix = "cv_analysis_request_queue"
service_request_exchange_name = "cv_analysis_request_exchange"
service_response_exchange_name = "cv_analysis_response_exchange"
service_dlq_name = "cv_analysis_dlq"
[storage] [storage]
backend = "s3" backend = "s3"
@ -62,6 +42,3 @@ connection_string = ""
[storage.tenant_server] [storage.tenant_server]
public_key = "" public_key = ""
endpoint = "http://tenant-user-management:8081/internal-api/tenants" endpoint = "http://tenant-user-management:8081/internal-api/tenants"
[kubernetes]
pod_name = "test_pod"

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8
flake.lock generated
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@ -20,17 +20,17 @@
}, },
"nixpkgs": { "nixpkgs": {
"locked": { "locked": {
"lastModified": 1715155958, "lastModified": 1711703276,
"narHash": "sha256-I/V8oiPfK0KIQUc+3sAQLJJYa7L3edd9gdnKP2XvT7E=", "narHash": "sha256-iMUFArF0WCatKK6RzfUJknjem0H9m4KgorO/p3Dopkk=",
"owner": "NixOS", "owner": "NixOS",
"repo": "nixpkgs", "repo": "nixpkgs",
"rev": "240b1d794bbfca3522dec880a3aa300932bbfd98", "rev": "d8fe5e6c92d0d190646fb9f1056741a229980089",
"type": "github" "type": "github"
}, },
"original": { "original": {
"owner": "NixOS", "owner": "NixOS",
"ref": "nixos-unstable",
"repo": "nixpkgs", "repo": "nixpkgs",
"rev": "240b1d794bbfca3522dec880a3aa300932bbfd98",
"type": "github" "type": "github"
} }
}, },

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@ -2,7 +2,7 @@
description = "An flake to use a Python poetry project in an FHS environment when poetry2nix is uncooperative"; description = "An flake to use a Python poetry project in an FHS environment when poetry2nix is uncooperative";
inputs = { inputs = {
flake-utils.url = "github:numtide/flake-utils"; flake-utils.url = "github:numtide/flake-utils";
nixpkgs.url = "github:NixOS/nixpkgs/240b1d794bbfca3522dec880a3aa300932bbfd98"; nixpkgs.url = "github:NixOS/nixpkgs/nixos-unstable";
}; };
outputs = { outputs = {
self, self,

5711
poetry.lock generated

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@ -1,6 +1,6 @@
[tool.poetry] [tool.poetry]
name = "cv-analysis-service" name = "cv-analysis-service"
version = "2.30.0" version = "2.6.2"
description = "" description = ""
authors = ["Isaac Riley <isaac.riley@knecon.com>"] authors = ["Isaac Riley <isaac.riley@knecon.com>"]
readme = "README.md" readme = "README.md"
@ -25,8 +25,8 @@ coverage = "^5.5"
dependency-check = "^0.6.0" dependency-check = "^0.6.0"
lorem-text = "^2.1" lorem-text = "^2.1"
PyMuPDF = "^1.19.6" PyMuPDF = "^1.19.6"
pyinfra = { version = "3.4.2", source = "gitlab-research" } pyinfra = { version = "^2.2.0", source = "gitlab-research" }
kn-utils = { version = ">=0.4.0", source = "gitlab-research" } kn-utils = { version = "0.2.7", source = "gitlab-research" }
pdf2img = { version = "0.7.0", source = "gitlab-red" } pdf2img = { version = "0.7.0", source = "gitlab-red" }
dvc-azure = "^2.21.2" dvc-azure = "^2.21.2"
pymupdf = "^1.24.1" pymupdf = "^1.24.1"
@ -76,7 +76,7 @@ priority = "explicit"
[tool.pylint] [tool.pylint]
max-line-length = 120 max-line-length = 120
docstring-min-length = 4 docstring-min-length=4
extension-pkg-whitelist = ["cv2"] extension-pkg-whitelist = ["cv2"]
extension-pkg-allow-list = ["cv2"] extension-pkg-allow-list = ["cv2"]

6
renovate.json Normal file
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@ -0,0 +1,6 @@
{
"$schema": "https://docs.renovatebot.com/renovate-schema.json",
"extends": [
"config:base"
]
}

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@ -1,41 +0,0 @@
#!/bin/bash
python_version=$1
gitlab_user=$2
gitlab_personal_access_token=$3
# cookiecutter https://gitlab.knecon.com/knecon/research/template-python-project.git --checkout master
# latest_dir=$(ls -td -- */ | head -n 1) # should be the dir cookiecutter just created
# cd $latest_dir
pyenv install $python_version
pyenv local $python_version
pyenv shell $python_version
# install poetry globally (PREFERRED), only need to install it once
# curl -sSL https://install.python-poetry.org | python3 -
# remember to update poetry once in a while
poetry self update
# install poetry in current python environment, can lead to multiple instances of poetry being installed on one system (DISPREFERRED)
# pip install --upgrade pip
# pip install poetry
poetry config virtualenvs.in-project true
poetry config installer.max-workers 10
poetry config repositories.gitlab-research https://gitlab.knecon.com/api/v4/groups/19/-/packages/pypi
poetry config http-basic.gitlab-research ${gitlab_user} ${gitlab_personal_access_token}
poetry config repositories.gitlab-red https://gitlab.knecon.com/api/v4/groups/12/-/packages/pypi
poetry config http-basic.gitlab-red ${gitlab_user} ${gitlab_personal_access_token}
poetry config repositories.gitlab-fforesight https://gitlab.knecon.com/api/v4/groups/269/-/packages/pypi
poetry config http-basic.gitlab-fforesight ${gitlab_user} ${gitlab_personal_access_token}
poetry env use $(pyenv which python)
poetry install --with=dev
poetry update
source .venv/bin/activate
pre-commit install
pre-commit autoupdate

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@ -26,5 +26,4 @@ best_result = list(pipe(data={"pdf": pdf_bytes, "vlp_output": vlp_output}))
# print(best_result) # print(best_result)
if __name__ == "__main__": annotate_pdf(pdf_bytes, best_result, output_path=args.output)
annotate_pdf(pdf_bytes, best_result, output_path=args.output)

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@ -135,11 +135,9 @@ FILTERS: dict[str, dict[int, np.ndarray | None]] = {
def filter_fp_col_lines(line_list: list[int], filt_sums: Array) -> list[int]: def filter_fp_col_lines(line_list: list[int], filt_sums: Array) -> list[int]:
if not list(line_list): if not line_list:
return [] return []
centers = list(np.where((filt_sums[1:-1] < filt_sums[:-2]) * (filt_sums[1:-1] < filt_sums[2:]))[0] + 1) centers = list(np.where((filt_sums[1:-1] < filt_sums[:-2]) * (filt_sums[1:-1] < filt_sums[2:]))[0] + 1)
if not centers:
return []
if line_list[0] > centers[0]: if line_list[0] > centers[0]:
centers = centers[1:] + [len(filt_sums) - 1] centers = centers[1:] + [len(filt_sums) - 1]

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@ -4,9 +4,7 @@ from pathlib import Path
from typing import Union from typing import Union
import fitz # type: ignore import fitz # type: ignore
from kn_utils.logging import logger from kn_utils.logging import logger # type: ignore
from cv_analysis.utils.image_extraction import mirror_horizontal # type: ignore
def annotate_pdf( def annotate_pdf(
@ -29,9 +27,8 @@ def annotate_page(page: fitz.Page, prediction):
bbox = itemgetter("x1", "y1", "x2", "y2")(box["box"]) bbox = itemgetter("x1", "y1", "x2", "y2")(box["box"])
label, probability, uuid = itemgetter("label", "probability", "uuid")(box) label, probability, uuid = itemgetter("label", "probability", "uuid")(box)
bbox = mirror_on_x_axis(bbox, page.bound().height)
x0, y0, x1, y1 = bbox x0, y0, x1, y1 = bbox
print(page.bound)
page.draw_rect(fitz.Rect(x0, y0, x1, y1), color=(0, 0, 1), width=2) page.draw_rect(fitz.Rect(x0, y0, x1, y1), color=(0, 0, 1), width=2)
label_x, label_y = x0, y0 - 5 label_x, label_y = x0, y0 - 5
page.insert_text( page.insert_text(
@ -43,18 +40,18 @@ def annotate_page(page: fitz.Page, prediction):
for line in prediction.get("tableLines", []): for line in prediction.get("tableLines", []):
start = itemgetter("x1", "y1")(line) start = itemgetter("x1", "y1")(line)
end = itemgetter("x2", "y2")(line) end = itemgetter("x2", "y2")(line)
bbox = (*start, *end)
height = page.bound()[3]
bbox = mirror_horizontal(bbox, page_height=height)
start = tuple(bbox[:2])
end = tuple(bbox[2:])
page.draw_line(start, end, color=(1, 0, 0.5), width=1) page.draw_line(start, end, color=(1, 0, 0.5), width=1)
return page return page
def mirror_on_x_axis(bbox, page_height):
x0, y0, x1, y1 = bbox
y0_new = page_height - y1
y1_new = page_height - y0
return x0, y0_new, x1, y1_new
@singledispatch @singledispatch
def provide_byte_stream(pdf: Union[bytes, Path, str]) -> None: def provide_byte_stream(pdf: Union[bytes, Path, str]) -> None:
pass pass

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@ -3,10 +3,10 @@ import os
import cv2 import cv2
from matplotlib import pyplot as plt from matplotlib import pyplot as plt
# if os.environ.get("USER") == "isaac": if os.environ["USER"] == "isaac":
# import matplotlib import matplotlib
# matplotlib.use("module://matplotlib-backend-wezterm") matplotlib.use("module://matplotlib-backend-wezterm")
def show_image_cv2(image, maxdim=700): def show_image_cv2(image, maxdim=700):

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@ -2,7 +2,7 @@ import json
from dataclasses import dataclass from dataclasses import dataclass
from functools import partial from functools import partial
from operator import itemgetter from operator import itemgetter
from typing import Literal, SupportsIndex, Tuple from typing import SupportsIndex, Tuple
import fitz # type: ignore import fitz # type: ignore
import numpy as np import numpy as np
@ -39,7 +39,7 @@ def transform_image_coordinates_to_pdf_coordinates(
return rect.x0, rect.y0, rect.x1, rect.y1 return rect.x0, rect.y0, rect.x1, rect.y1
def rescale_to_pdf(bbox: BBoxType, page_info: PageInfo) -> BBoxType: def rescale_to_pdf(bbox: BBoxType, page_info: PageInfo) -> tuple[float, float, float, float]:
round3 = lambda x: tuple(map(lambda y: round(y, 3), x)) round3 = lambda x: tuple(map(lambda y: round(y, 3), x))
pdf_h, pdf_w = page_info.height, page_info.width pdf_h, pdf_w = page_info.height, page_info.width
@ -54,41 +54,6 @@ def rescale_to_pdf(bbox: BBoxType, page_info: PageInfo) -> BBoxType:
return round3((bbox[0] * ratio_w, bbox[1] * ratio_h, bbox[2] * ratio_w, bbox[3] * ratio_h)) return round3((bbox[0] * ratio_w, bbox[1] * ratio_h, bbox[2] * ratio_w, bbox[3] * ratio_h))
def mirror_horizontal(bbox: BBoxType, page_height: int | float) -> BBoxType:
x0, y0, x1, y1 = bbox
y0_new = page_height - y0
y1_new = page_height - y1
return x0, y0_new, x1, y1_new
def mirror_vertical(bbox: BBoxType, page_width: int | float) -> BBoxType:
x0, y0, x1, y1 = bbox
x0_new = page_width - x1
x1_new = page_width - x0
return x0_new, y0, x1_new, y1
def derotate_image(bbox: BBoxType, page_info: PageInfo) -> BBoxType:
logger.debug(f"{page_info.rotation=}")
match page_info.rotation:
case 0:
bbox = mirror_horizontal(bbox, page_info.height)
case 90:
pass
case 180:
bbox = mirror_vertical(bbox, page_info.height)
case 270:
bbox = mirror_vertical(mirror_horizontal(bbox, page_info.height), page_info.height)
case _:
logger.warning(f"Unknown rotation: {page_info.rotation}")
pass
return bbox
def transform_table_lines_by_page_info(bboxes: dict, offsets: tuple, page_info: PageInfo) -> dict: def transform_table_lines_by_page_info(bboxes: dict, offsets: tuple, page_info: PageInfo) -> dict:
transform = partial(rescale_to_pdf, page_info=page_info) transform = partial(rescale_to_pdf, page_info=page_info)
@ -102,11 +67,9 @@ def transform_table_lines_by_page_info(bboxes: dict, offsets: tuple, page_info:
return (x1 + offset_x, y1 + offset_y, x2 + offset_x, y2 + offset_y) return (x1 + offset_x, y1 + offset_y, x2 + offset_x, y2 + offset_y)
derotate = partial(derotate_image, page_info=page_info)
unpack = itemgetter("x1", "y1", "x2", "y2") unpack = itemgetter("x1", "y1", "x2", "y2")
pack = lambda x: {"x1": x[0], "y1": x[1], "x2": x[2], "y2": x[3]} pack = lambda x: {"x1": x[0], "y1": x[1], "x2": x[2], "y2": x[3]}
convert = compose(pack, derotate, apply_offsets, transform, unpack) convert = compose(pack, apply_offsets, transform, unpack)
table_lines = bboxes.get("tableLines", []) table_lines = bboxes.get("tableLines", [])
bboxes["tableLines"] = list(map(convert, table_lines)) bboxes["tableLines"] = list(map(convert, table_lines))