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86 Commits

Author SHA1 Message Date
Jonathan Kössler
799fe331c3 Merge branch 'bugfix/RED-10722' into 'master'
RED-10722: fix dead letter queue

Closes RED-10722

See merge request redactmanager/cv-analysis-service!32
2025-01-16 09:28:41 +01:00
Jonathan Kössler
dfbfc50556 chore: update version 2025-01-15 13:40:01 +01:00
Jonathan Kössler
63fbd387a3 chore: update pyinfra to v3.4.2 2025-01-15 13:32:57 +01:00
Jonathan Kössler
41dbfc69d9 chore: update pyinfra to v3.4.2 2025-01-14 16:52:13 +01:00
Jonathan Kössler
b73e9b2ed9 Merge branch 'feature/RED-10441' into 'master'
RED-10441: fix abandoned queues

Closes RED-10441

See merge request redactmanager/cv-analysis-service!31
2024-11-13 17:27:22 +01:00
Jonathan Kössler
92692281ce chore: update pyinfra to v3.3.5 2024-11-13 17:22:24 +01:00
Jonathan Kössler
cb0c58d699 chore: update pyinfra to v3.3.4 2024-11-13 16:41:04 +01:00
Jonathan Kössler
eb96403fe2 chore: update pyinfra to v3.3.3 2024-11-13 14:53:11 +01:00
Jonathan Kössler
c8daf888c6 chore: update pyinfra to v3.3.2 2024-11-13 09:45:43 +01:00
Jonathan Kössler
eb921c365d Merge branch 'chore/update_pyinfra' into 'master'
RES-858: fix graceful shutdown

See merge request redactmanager/cv-analysis-service!30
2024-09-30 11:01:07 +02:00
Jonathan Kössler
7762f81a4a chore: update pyinfra to v3.2.11 2024-09-30 10:07:29 +02:00
Jonathan Kössler
e991cfe1bf Merge branch 'chore/update_pyinfra' into 'master'
RES-844 && RES-856: fix tracing & proto format

See merge request redactmanager/cv-analysis-service!29
2024-09-27 08:21:46 +02:00
Jonathan Kössler
35c5ee5831 fix: opentelemtry service name 2024-09-26 13:46:05 +02:00
Jonathan Kössler
e97f34391a chore: update pyinfra to v3.2.10 2024-09-26 13:44:48 +02:00
Francisco Schulz
1fa10721aa Merge branch 'RED-10017-investigate-crashing-py-services-when-upload-large-number-of-files' into 'master'
RED-10017 "Investigate crashing py services when upload large number of files"

See merge request redactmanager/cv-analysis-service!28
2024-09-23 18:55:08 +02:00
Francisco Schulz
7f0d0a48db RED-10017 "Investigate crashing py services when upload large number of files" 2024-09-23 18:55:08 +02:00
Francisco Schulz
333cd498b9 Merge branch 'RES-842-pyinfra-fix-rabbit-mq-handler-shuts-down-when-queues-not-available-yet' into 'master'
chore: update pyinfra version, increase pkg version

Closes RES-842

See merge request redactmanager/cv-analysis-service!27
2024-08-30 14:57:14 +02:00
francisco.schulz
9df8c8f936 chore: update service version 2024-08-30 08:25:00 -04:00
francisco.schulz
60adf0c381 chore: update pyinfra version 2024-08-30 08:15:34 -04:00
francisco.schulz
537f605a85 chore: remove renovate bot config 2024-08-29 11:48:15 -04:00
francisco.schulz
66987ab8e9 chore: update pyinfra version, increase pkg version 2024-08-29 11:29:07 -04:00
Jonathan Kössler
43570142c3 Merge branch 'feature/RES-840-add-client-connector-error' into 'master'
fix: add exception handling for ClientConnectorError

Closes RES-840

See merge request redactmanager/cv-analysis-service!26
2024-08-28 15:47:01 +02:00
Jonathan Kössler
d457f49001 chore: update pyinfra version 2024-08-28 14:47:29 +02:00
Jonathan Kössler
536928c032 Merge branch 'feature/RES-826-pyinfra-update' into 'master'
chore: bump pyinfra version

Closes RES-826

See merge request redactmanager/cv-analysis-service!25
2024-08-26 16:15:17 +02:00
Jonathan Kössler
dc6183490f chore: bump pyinfra version 2024-08-26 15:13:59 +02:00
Jonathan Kössler
bbc2d0c8bf chore: bump pyinfra version 2024-08-22 09:33:26 +02:00
Jonathan Kössler
3462faf8c7 Merge branch 'feature/RES-731-add-queues-per-tenant' into 'master'
RES-731: add queues per tenant

Closes RES-731

See merge request redactmanager/cv-analysis-service!24
2024-08-19 15:03:38 +02:00
Jonathan Kössler
b136cc9ff3 RES-731: add queues per tenant 2024-08-19 15:03:37 +02:00
Julius Unverfehrt
cf431df1cb Merge branch 'table_lines' into 'master'
Table lines

See merge request redactmanager/cv-analysis-service!23
2024-05-15 16:53:27 +02:00
iriley
23406004ed chore: remove debug code 2024-05-15 16:38:51 +02:00
iriley
b0467f2335 chore: debug coordinate remapping logic, esp mirroring 2024-05-15 16:33:58 +02:00
Julius Unverfehrt
e86214f6b7 Merge branch 'table_lines' into 'master'
fix: maping of image coordinates to pdf coordinates (table inference)

See merge request redactmanager/cv-analysis-service!22
2024-05-15 13:02:24 +02:00
iriley
3b8d6eda04 fix: maping of image coordinates to pdf coordinates (table inference) 2024-05-15 11:48:31 +02:00
Isaac Riley
3c9ddfcf0f Merge branch 'table_lines' into 'master'
fix: check nonzero list length in filter_fp_col_lines

See merge request redactmanager/cv-analysis-service!21
2024-05-13 09:39:20 +02:00
iriley
b854312b08 fix: check nonzero list length in filter_fp_col_lines 2024-05-13 08:40:31 +02:00
Isaac Riley
0f45a25bc8 Merge branch 'table_lines' into 'master'
fix: make envvar conditional unfailable

See merge request redactmanager/cv-analysis-service!20
2024-05-08 15:33:45 +02:00
iriley
8762363aa9 Merge branch 'table_lines' 2024-05-08 15:20:51 +02:00
iriley
72d26c4712 fix: make envvar conditional unfailable 2024-05-08 13:44:11 +02:00
Francisco Schulz
62fb637978 fix: generate docs when merging into master branch 2024-05-07 14:17:19 +02:00
Isaac Riley
802372a504 Update .gitlab-ci.yml file to build docs in build job rather than unit-tests 2024-05-07 12:41:46 +02:00
Isaac Riley
ceb1c00784 Update .gitlab-ci.yml file 2024-05-07 12:27:47 +02:00
Isaac Riley
f1f9e8d2bc Update .gitlab-ci.yml file 2024-05-07 10:59:21 +02:00
Isaac Riley
8fcb6f29fb Update .gitlab-ci.yml 2024-05-07 10:40:01 +02:00
Isaac Riley
79926b9990 Update .gitlab-ci.yml file 2024-05-07 09:07:00 +02:00
Isaac Riley
6d37622e95 Remove error in .gitlab-ci.yml file 2024-05-07 07:47:58 +02:00
Isaac Riley
6341512250 Define pages job in .gitlab-ci.yml file 2024-05-07 07:42:16 +02:00
Isaac Riley
713697b32d Update .gitlab-ci.yml file 2024-05-07 07:40:52 +02:00
Isaac Riley
b6e2540399 Update .gitlab-ci.yml 2024-05-07 07:31:41 +02:00
Isaac Riley
78b8f18865 Update .gitlab-ci.yaml 2024-05-07 07:25:53 +02:00
Isaac Riley
55795b9e58 Merge branch 'renovate/configure' into 'master'
Configure Renovate

See merge request redactmanager/cv-analysis-service!4
2024-05-07 06:50:34 +02:00
Isaac Riley
d2ec32b37c Merge branch 'update-ci' into 'master'
update CI to include GitLab Pages

See merge request redactmanager/cv-analysis-service!12
2024-05-07 06:33:45 +02:00
francisco.schulz
3202d95638 fix(build): faulty file reference 2024-05-06 15:59:55 -04:00
francisco.schulz
8c1e30c6df fix: unignore BOM 2024-05-06 15:49:19 -04:00
francisco.schulz
127fd7a399 feat: update dockerfile + add BOM 2024-05-06 15:45:29 -04:00
Francisco Schulz
560c73a5cb feat: use include statement for DVC 2024-05-06 17:47:39 +02:00
Francisco Schulz
d821b93af9 fix: dvc command
- URL not detected
2024-05-06 17:23:14 +02:00
Francisco Schulz
2f20ec4ecd feat: update CI and add DVC job 2024-05-06 17:10:56 +02:00
Isaac Riley
c2027df1c7 Merge branch 'table_lines' into 'master'
Add automatic documentation

See merge request redactmanager/cv-analysis-service!11
2024-05-06 15:50:57 +02:00
Isaac Riley
a966b49f89 Merge branch 'master' into 'table_lines'
# Conflicts:
#   .gitlab-ci.yml
2024-05-06 15:35:05 +02:00
iriley
8d81551da3 feat: add minimal working docs 2024-05-06 15:31:45 +02:00
Isaac Riley
626da20afd Update .gitlab-ci.yml 2024-04-29 15:53:08 +02:00
iriley
a55b34379a fix: remove before_script in gitlab-ci 2024-04-29 15:45:44 +02:00
Isaac Riley
2c5c3669a4 Update .gitlab-ci.yml file 2024-04-29 15:42:45 +02:00
Isaac Riley
55b8e209d3 Update .gitlab-ci.yml file 2024-04-29 15:41:24 +02:00
iriley
ab5096dd86 chore: fix readme problem with docs and modify gitlab ci to build docs 2024-04-29 15:39:33 +02:00
iriley
3a5fc32ec8 feat: add gitlab ci, makefile, sphinx docs 2024-04-29 14:57:36 +02:00
iriley
2c6232a1bf fix: remove typing errors (mypy) 2024-04-29 13:58:35 +02:00
iriley
b43033e6bf chore: repo housekeeping: adapt pre-commit and versioning script 2024-04-29 13:20:14 +02:00
iriley
5d13d8b3d0 chore: formatting and linting 2024-04-29 12:09:44 +02:00
Julius Unverfehrt
f213a16cd0 Merge branch 'table_lines' into 'master'
feat: table line inference (experimental for deployment)

See merge request redactmanager/cv-analysis-service!10
2024-04-26 15:14:51 +02:00
iriley
9e04693ee1 chore: update pyinfra 2024-04-26 15:07:33 +02:00
iriley
fee357872f fix: fix col line filter to handle empty list 2024-04-26 15:02:33 +02:00
iriley
12bb7ee25f fix: disable table inference test for now 2024-04-26 15:02:33 +02:00
iriley
f7a0db2651 feat: remove relextrema because not working; use pure numpy instead 2024-04-26 15:02:33 +02:00
Julius Unverfehrt
1d3b077ace chore: parse args in scripts, add colors for drawing lines 2024-04-26 15:02:33 +02:00
iriley
102617fe2f fix: coordinate remapping 2024-04-26 15:02:33 +02:00
Julius Unverfehrt
0f0fe516d0 funktion: Arbeit In Durchfuehrung: Hinzufuegen von Annotations Logik 2024-04-26 15:02:33 +02:00
Julius Unverfehrt
8de913840f funktion: In Arbeit: Hinzufuegung von Tragbares Dokumentenformat Koordinaten Konvertierung 2024-04-26 15:02:33 +02:00
Julius Unverfehrt
aefb73bf28 hausarbeit: Aktualisierung der Liesmich und Anpassung einer Pruefung" 2024-04-26 15:02:33 +02:00
Julius Unverfehrt
20f8dcd336 feat: adapt interface for production 2024-04-26 15:02:33 +02:00
iriley
681e59d24e chore: add test file to dvc 2024-04-26 15:02:33 +02:00
iriley
abd350cc42 fix: import error and fitz api correction in extract_images_from_pdf; table inference test 2024-04-26 15:02:33 +02:00
iriley
e264c948cf feat: adapt pipeline for new table inference + pyinfra 2024-04-26 15:02:27 +02:00
iriley
ddd680bb4c fix: change None to list when HoughLinesP returns None 2024-04-26 15:00:06 +02:00
iriley
ebdf3cefbf rebase: feat: use line-mapping logic 2024-04-26 14:58:10 +02:00
Kevin Tumma
4c4ed8ba1e Add renovate.json 2023-07-14 09:03:30 +00:00
270 changed files with 157344 additions and 2374 deletions

View File

@ -5,3 +5,6 @@
port = 22 port = 22
['remote "azure_remote"'] ['remote "azure_remote"']
url = azure://cv-sa-dvc/ url = azure://cv-sa-dvc/
connection_string = "DefaultEndpointsProtocol=https;AccountName=cvsacricket;AccountKey=KOuTAQ6Mp00ePTT5ObYmgaHlxwS1qukY4QU4Kuk7gy/vldneA+ZiKjaOpEFtqKA6Mtym2gQz8THy+ASts/Y1Bw==;EndpointSuffix=core.windows.net"
['remote "local"']
url = ../dvc_local_remote

3
.gitignore vendored
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@ -48,4 +48,5 @@ __pycache__/
!data/* !data/*
!drivers !drivers
# ignore files # unignore files
!bom.*

30
.gitlab-ci.backup.yml Normal file
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@ -0,0 +1,30 @@
include:
- project: "Gitlab/gitlab"
ref: 0.3.0
file: "/ci-templates/research/dvc-versioning-build-release.gitlab-ci.yml"
variables:
NEXUS_PROJECT_DIR: red
IMAGENAME: "${CI_PROJECT_NAME}"
#################################
# temp. disable integration tests, b/c they don't cover the CV analysis case yet
trigger integration tests:
rules:
- when: never
release build:
stage: release
needs:
- job: set custom version
artifacts: true
optional: true
- job: calculate patch version
artifacts: true
optional: true
- job: calculate minor version
artifacts: true
optional: true
- job: build docker nexus
artifacts: true
#################################

View File

@ -1,30 +1,35 @@
# CI for services, check gitlab repo for python package CI
include: include:
- project: "Gitlab/gitlab" - project: "Gitlab/gitlab"
ref: 0.3.0 ref: main
file: "/ci-templates/research/dvc-versioning-build-release.gitlab-ci.yml" file: "/ci-templates/research/versioning-build-test-release.gitlab-ci.yml"
- project: "Gitlab/gitlab"
ref: main
file: "/ci-templates/research/docs.gitlab-ci.yml"
# set project variables here
variables: variables:
NEXUS_PROJECT_DIR: red NEXUS_PROJECT_DIR: red # subfolder in Nexus docker-gin where your container will be stored
IMAGENAME: "${CI_PROJECT_NAME}" IMAGENAME: $CI_PROJECT_NAME # if the project URL is gitlab.example.com/group-name/project-1, CI_PROJECT_NAME is project-1
################################# pages:
# temp. disable integration tests, b/c they don't cover the CV analysis case yet only:
trigger integration tests: - master # KEEP THIS, necessary because `master` branch and not `main` branch
###################
# INTEGRATION TESTS
trigger-integration-tests:
extends: .integration-tests
# ADD THE MODEL BUILD WHICH SHOULD TRIGGER THE INTEGRATION TESTS
# needs:
# - job: docker-build::model_name
# artifacts: true
rules: rules:
- when: never - when: never
release build: #########
stage: release # RELEASE
release:
extends: .release
needs: needs:
- job: set custom version - !reference [.needs-versioning, needs] # leave this line as is
artifacts: true
optional: true
- job: calculate patch version
artifacts: true
optional: true
- job: calculate minor version
artifacts: true
optional: true
- job: build docker nexus
artifacts: true
#################################

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@ -0,0 +1,61 @@
import subprocess
import sys
from pathlib import Path
import semver
from loguru import logger
from semver.version import Version
logger.remove()
logger.add(sys.stdout, level="INFO")
def bashcmd(cmds: list) -> str:
try:
logger.debug(f"running: {' '.join(cmds)}")
return subprocess.run(cmds, check=True, capture_output=True, text=True).stdout.strip("\n")
except:
logger.warning(f"Error executing the following bash command: {' '.join(cmds)}.")
raise
def get_highest_existing_git_version_tag() -> str:
"""Get highest versions from git tags depending on bump level"""
try:
git_tags = bashcmd(["git", "tag", "-l"]).split()
semver_compat_tags = list(filter(Version.is_valid, git_tags))
highest_git_version_tag = max(semver_compat_tags, key=semver.version.Version.parse)
logger.info(f"Highest git version tag: {highest_git_version_tag}")
return highest_git_version_tag
except:
logger.warning("Error getting git version tags")
raise
def auto_bump_version() -> bool:
active = Path(".autoversion").is_file()
logger.debug(f"Automated version bump is set to '{active}'")
return active
def main() -> None:
poetry_project_version = bashcmd(["poetry", "version", "-s"])
logger.info(f"Poetry project version: {poetry_project_version}")
highest_git_version_tag = get_highest_existing_git_version_tag()
comparison_result = semver.compare(poetry_project_version, highest_git_version_tag)
if comparison_result in (-1, 0):
logger.warning("Poetry version must be greater than git tag version.")
if auto_bump_version():
logger.info(bashcmd(["poetry", "version", highest_git_version_tag]))
sys.exit(0)
sys.exit(1)
else:
logger.info(f"All good: {poetry_project_version} > {highest_git_version_tag}")
if __name__ == "__main__":
main()

72
.pre-commit-config.yaml Normal file
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@ -0,0 +1,72 @@
# See https://pre-commit.com for more information
# See https://pre-commit.com/hooks.html for more hooks
exclude: ^(docs/|notebooks/|data/|src/configs/|tests/|.hooks/|bom.json)
default_language_version:
python: python3.10
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v5.0.0
hooks:
- id: trailing-whitespace
- id: end-of-file-fixer
- id: check-yaml
args: [--unsafe] # needed for .gitlab-ci.yml
- id: check-toml
- id: detect-private-key
- id: check-added-large-files
args: ['--maxkb=10000']
- id: check-case-conflict
- id: mixed-line-ending
# - repo: https://github.com/pre-commit/mirrors-pylint
# rev: v3.0.0a5
# hooks:
# - id: pylint
# args:
# - --disable=C0111,R0903,E0401
# - --max-line-length=120
- repo: https://github.com/pre-commit/mirrors-isort
rev: v5.10.1
hooks:
- id: isort
args:
- --profile black
- repo: https://github.com/psf/black
rev: 24.10.0
hooks:
- id: black
# exclude: ^(docs/|notebooks/|data/|src/secrets/)
args:
- --line-length=120
- repo: https://github.com/compilerla/conventional-pre-commit
rev: v4.0.0
hooks:
- id: conventional-pre-commit
pass_filenames: false
stages: [commit-msg]
# args: [] # optional: list of Conventional Commits types to allow e.g. [feat, fix, ci, chore, test]
- repo: local
hooks:
- id: version-checker
name: version-checker
entry: python .hooks/poetry_version_check.py
language: python
always_run: true
additional_dependencies:
- "semver"
- "loguru"
# - repo: local
# hooks:
# - id: docker-build-test
# name: testing docker build
# entry: ./scripts/ops/docker-compose-build-run.sh
# language: script
# # always_run: true
# pass_filenames: false
# args: []
# stages: [pre-commit]

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@ -1,11 +1,19 @@
FROM python:3.10 ###############
# BUILDER IMAGE
FROM python:3.10-slim as builder
ARG GITLAB_USER
ARG GITLAB_ACCESS_TOKEN
ARG USERNAME
ARG TOKEN
ARG PYPI_REGISTRY_RESEARCH=https://gitlab.knecon.com/api/v4/groups/19/-/packages/pypi ARG PYPI_REGISTRY_RESEARCH=https://gitlab.knecon.com/api/v4/groups/19/-/packages/pypi
ARG POETRY_SOURCE_REF_RESEARCH=gitlab-research ARG POETRY_SOURCE_REF_RESEARCH=gitlab-research
ARG PYPI_REGISTRY_RED=https://gitlab.knecon.com/api/v4/groups/12/-/packages/pypi ARG PYPI_REGISTRY_RED=https://gitlab.knecon.com/api/v4/groups/12/-/packages/pypi
ARG POETRY_SOURCE_REF_RED=gitlab-red ARG POETRY_SOURCE_REF_RED=gitlab-red
ARG PYPI_REGISTRY_FFORESIGHT=https://gitlab.knecon.com/api/v4/groups/269/-/packages/pypi
ARG POETRY_SOURCE_REF_FFORESIGHT=gitlab-fforesight
ARG VERSION=dev ARG VERSION=dev
LABEL maintainer="Research <research@knecon.com>" LABEL maintainer="Research <research@knecon.com>"
@ -13,29 +21,58 @@ LABEL version="${VERSION}"
WORKDIR /app WORKDIR /app
###########
# ENV SETUP
ENV PYTHONDONTWRITEBYTECODE=true
ENV PYTHONUNBUFFERED=true ENV PYTHONUNBUFFERED=true
ENV POETRY_HOME=/opt/poetry ENV POETRY_HOME=/opt/poetry
ENV PATH="$POETRY_HOME/bin:$PATH" ENV PATH="$POETRY_HOME/bin:$PATH"
RUN curl -sSL https://install.python-poetry.org | python3 - RUN apt-get update && \
apt-get install -y curl git bash build-essential libffi-dev libssl-dev && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
RUN curl -sSL https://install.python-poetry.org | python3 -
RUN poetry --version
COPY ./src ./src
COPY ./config ./config
COPY pyproject.toml poetry.lock ./ COPY pyproject.toml poetry.lock ./
RUN poetry config virtualenvs.create true && \
RUN ls -hal poetry config virtualenvs.in-project true && \
RUN echo "${USERNAME} ${TOKEN} ${PYPI_REGISTRY_RED} ${POETRY_SOURCE_REF_RED} "
RUN poetry config virtualenvs.create false && \
poetry config installer.max-workers 10 && \ poetry config installer.max-workers 10 && \
poetry config repositories.${POETRY_SOURCE_REF_RESEARCH} ${PYPI_REGISTRY_RESEARCH} && \ poetry config repositories.${POETRY_SOURCE_REF_RESEARCH} ${PYPI_REGISTRY_RESEARCH} && \
poetry config http-basic.${POETRY_SOURCE_REF_RESEARCH} ${USERNAME} ${TOKEN} && \ poetry config http-basic.${POETRY_SOURCE_REF_RESEARCH} ${GITLAB_USER} ${GITLAB_ACCESS_TOKEN} && \
poetry config repositories.${POETRY_SOURCE_REF_RED} ${PYPI_REGISTRY_RED} && \ poetry config repositories.${POETRY_SOURCE_REF_RED} ${PYPI_REGISTRY_RED} && \
poetry config http-basic.${POETRY_SOURCE_REF_RED} ${USERNAME} ${TOKEN} && \ poetry config http-basic.${POETRY_SOURCE_REF_RED} ${GITLAB_USER} ${GITLAB_ACCESS_TOKEN} && \
poetry install --without=test -vv --no-interaction poetry config repositories.${POETRY_SOURCE_REF_FFORESIGHT} ${PYPI_REGISTRY_FFORESIGHT} && \
poetry config http-basic.${POETRY_SOURCE_REF_FFORESIGHT} ${GITLAB_USER} ${GITLAB_ACCESS_TOKEN} && \
poetry install --without=dev,docs,test -vv --no-interaction --no-root
##################
# COPY SOURCE CODE
COPY ./config ./config
COPY ./src ./src
###############
# WORKING IMAGE
FROM python:3.10-slim
# COPY BILL OF MATERIALS (BOM)
COPY bom.json /bom.json
# COPY SOURCE CODE FROM BUILDER IMAGE
COPY --from=builder /app /app
WORKDIR /app
ENV PATH="/app/.venv/bin:$PATH"
############
# NETWORKING
EXPOSE 5000 EXPOSE 5000
EXPOSE 8080 EXPOSE 8080
################
# LAUNCH COMMAND
CMD [ "python", "src/serve.py"] CMD [ "python", "src/serve.py"]

94
Makefile Normal file
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@ -0,0 +1,94 @@
.PHONY: \
poetry in-project-venv dev-env use-env install install-dev tests \
update-version sync-version-with-git \
docker docker-build-run docker-build docker-run \
docker-rm docker-rm-container docker-rm-image \
pre-commit get-licenses prep-commit \
docs sphinx_html sphinx_apidoc bom
.DEFAULT_GOAL := run
export DOCKER=docker
export DOCKERFILE=Dockerfile
export IMAGE_NAME=cv_analysis_service-image
export CONTAINER_NAME=cv_analysis_service-container
export HOST_PORT=9999
export CONTAINER_PORT=9999
export PYTHON_VERSION=python3.10
# all commands should be executed in the root dir or the project,
# specific environments should be deactivated
poetry: in-project-venv use-env dev-env
in-project-venv:
poetry config virtualenvs.in-project true
use-env:
poetry env use ${PYTHON_VERSION}
dev-env:
poetry install --with dev && poetry update
install:
poetry add $(pkg)
install-dev:
poetry add --dev $(pkg)
requirements:
poetry export --without-hashes --output requirements.txt
update-version:
poetry version prerelease
sync-version-with-git:
git pull -p && poetry version $(git rev-list --tags --max-count=1 | git describe --tags --abbrev=0)
bom:
cyclonedx-py poetry -o bom.json
docker: docker-rm docker-build-run
docker-build-run: docker-build docker-run
docker-build:
$(DOCKER) build \
--no-cache --progress=plain \
-t $(IMAGE_NAME) -f $(DOCKERFILE) \
--build-arg USERNAME=${USERNAME} \
--build-arg TOKEN=${GITLAB_TOKEN} \
.
docker-run:
$(DOCKER) run -it --rm -p $(HOST_PORT):$(CONTAINER_PORT)/tcp --name $(CONTAINER_NAME) $(IMAGE_NAME)
docker-rm: docker-rm-container docker-rm-image
docker-rm-container:
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docker-rm-image:
-$(DOCKER) image rm $(IMAGE_NAME)
tests:
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prep-commit:
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pre-commit:
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get-licenses:
pip-licenses --format=json --order=license --with-urls > pkg-licenses.json
docs: sphinx_apidoc sphinx_html
sphinx_html:
poetry run sphinx-build -b html docs/source/ docs/build/html -E -a
sphinx_apidoc:
cp ./README.md ./docs/source/README.md && cp -r ./data ./docs/source/data/ && poetry run sphinx-apidoc ./src -o ./docs/source/modules --no-toc --module-first --follow-links --separate --force
bom:
cyclonedx-py poetry -o bom.json

View File

@ -1,8 +1,60 @@
# cv-analysis &mdash; Visual (CV-Based) Document Parsing # cv-analysis - Visual (CV-Based) Document Parsing
parse_pdf()
This repository implements computer vision based approaches for detecting and parsing visual features such as tables or This repository implements computer vision based approaches for detecting and parsing visual features such as tables or
previous redactions in documents. previous redactions in documents.
## API
Input message:
```json
{
"targetFilePath": {
"pdf": "absolute file path",
"vlp_output": "absolute file path"
},
"responseFilePath": "absolute file path",
"operation": "table_image_inference"
}
```
Response is uploaded to the storage as specified in the `responseFilePath` field. The structure is as follows:
```json
{
...,
"data": [
{
'pageNum': 0,
'bbox': {
'x1': 55.3407,
'y1': 247.0246,
'x2': 558.5602,
'y2': 598.0585
},
'uuid': '2b10c1a2-393c-4fca-b9e3-0ad5b774ac84',
'label': 'table',
'tableLines': [
{
'x1': 0,
'y1': 16,
'x2': 1399,
'y2': 16
},
...
],
'imageInfo': {
'height': 693,
'width': 1414
}
},
...
]
}
```
## Installation ## Installation
```bash ```bash
@ -34,7 +86,6 @@ from cv_analysis.redaction_detection import find_redactions
import pdf2image import pdf2image
import numpy as np import numpy as np
pdf_path = ... pdf_path = ...
page_index = ... page_index = ...

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@ -1,11 +1,22 @@
[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.opentelemetry] [tracing]
enabled = true enabled = true
# possible values "opentelemetry" | "azure_monitor" (Excpects APPLICATIONINSIGHTS_CONNECTION_STRING environment variable.)
type = "azure_monitor"
[tracing.opentelemetry]
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_analyisis_service" service_name = "redactmanager_cv_analysis_service"
exporter = "otlp" exporter = "otlp"
[webserver] [webserver]
@ -25,6 +36,15 @@ 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"
@ -41,4 +61,7 @@ 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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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: 04e9c6c5d3e412413c2949e598da60dc
tags: 645f666f9bcd5a90fca523b33c5a78b7

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<section id="cv-analysis-visual-cv-based-document-parsing">
<h1>cv-analysis - Visual (CV-Based) Document Parsing<a class="headerlink" href="#cv-analysis-visual-cv-based-document-parsing" title="Link to this heading">#</a></h1>
<p>parse_pdf()
This repository implements computer vision based approaches for detecting and parsing visual features such as tables or
previous redactions in documents.</p>
<section id="api">
<h2>API<a class="headerlink" href="#api" title="Link to this heading">#</a></h2>
<p>Input message:</p>
<div class="highlight-json notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
<span class="w"> </span><span class="nt">&quot;targetFilePath&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="nt">&quot;pdf&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;absolute file path&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="nt">&quot;vlp_output&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;absolute file path&quot;</span>
<span class="w"> </span><span class="p">},</span>
<span class="w"> </span><span class="nt">&quot;responseFilePath&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;absolute file path&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="nt">&quot;operation&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;table_image_inference&quot;</span>
<span class="p">}</span>
</pre></div>
</div>
<p>Response is uploaded to the storage as specified in the <code class="docutils literal notranslate"><span class="pre">responseFilePath</span></code> field. The structure is as follows:</p>
<div class="highlight-json notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
<span class="w"> </span><span class="err">...</span><span class="p">,</span>
<span class="w"> </span><span class="nt">&quot;data&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
<span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="err">&#39;pageNum&#39;</span><span class="p">:</span><span class="w"> </span><span class="mi">0</span><span class="p">,</span>
<span class="w"> </span><span class="err">&#39;bbox&#39;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="err">&#39;x</span><span class="mi">1</span><span class="err">&#39;</span><span class="p">:</span><span class="w"> </span><span class="mf">55.3407</span><span class="p">,</span>
<span class="w"> </span><span class="err">&#39;y</span><span class="mi">1</span><span class="err">&#39;</span><span class="p">:</span><span class="w"> </span><span class="mf">247.0246</span><span class="p">,</span>
<span class="w"> </span><span class="err">&#39;x</span><span class="mi">2</span><span class="err">&#39;</span><span class="p">:</span><span class="w"> </span><span class="mf">558.5602</span><span class="p">,</span>
<span class="w"> </span><span class="err">&#39;y</span><span class="mi">2</span><span class="err">&#39;</span><span class="p">:</span><span class="w"> </span><span class="mf">598.0585</span>
<span class="w"> </span><span class="p">},</span>
<span class="w"> </span><span class="err">&#39;uuid&#39;</span><span class="p">:</span><span class="w"> </span><span class="err">&#39;</span><span class="mi">2</span><span class="err">b</span><span class="mi">10</span><span class="err">c</span><span class="mi">1</span><span class="err">a</span><span class="mi">2-393</span><span class="err">c</span><span class="mi">-4</span><span class="kc">f</span><span class="err">ca</span><span class="mi">-</span><span class="err">b</span><span class="mf">9e3-0</span><span class="err">ad</span><span class="mi">5</span><span class="err">b</span><span class="mi">774</span><span class="err">ac</span><span class="mi">84</span><span class="err">&#39;</span><span class="p">,</span>
<span class="w"> </span><span class="err">&#39;label&#39;</span><span class="p">:</span><span class="w"> </span><span class="err">&#39;</span><span class="kc">ta</span><span class="err">ble&#39;</span><span class="p">,</span>
<span class="w"> </span><span class="err">&#39;</span><span class="kc">ta</span><span class="err">bleLi</span><span class="kc">nes</span><span class="err">&#39;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
<span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="err">&#39;x</span><span class="mi">1</span><span class="err">&#39;</span><span class="p">:</span><span class="w"> </span><span class="mi">0</span><span class="p">,</span>
<span class="w"> </span><span class="err">&#39;y</span><span class="mi">1</span><span class="err">&#39;</span><span class="p">:</span><span class="w"> </span><span class="mi">16</span><span class="p">,</span>
<span class="w"> </span><span class="err">&#39;x</span><span class="mi">2</span><span class="err">&#39;</span><span class="p">:</span><span class="w"> </span><span class="mi">1399</span><span class="p">,</span>
<span class="w"> </span><span class="err">&#39;y</span><span class="mi">2</span><span class="err">&#39;</span><span class="p">:</span><span class="w"> </span><span class="mi">16</span>
<span class="w"> </span><span class="p">},</span>
<span class="w"> </span><span class="err">...</span>
<span class="w"> </span><span class="p">],</span>
<span class="w"> </span><span class="err">&#39;imageI</span><span class="kc">nf</span><span class="err">o&#39;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="err">&#39;heigh</span><span class="kc">t</span><span class="err">&#39;</span><span class="p">:</span><span class="w"> </span><span class="mi">693</span><span class="p">,</span>
<span class="w"> </span><span class="err">&#39;wid</span><span class="kc">t</span><span class="err">h&#39;</span><span class="p">:</span><span class="w"> </span><span class="mi">1414</span>
<span class="w"> </span><span class="p">}</span>
<span class="w"> </span><span class="p">},</span>
<span class="w"> </span><span class="err">...</span>
<span class="w"> </span><span class="p">]</span>
<span class="p">}</span>
</pre></div>
</div>
</section>
<section id="installation">
<h2>Installation<a class="headerlink" href="#installation" title="Link to this heading">#</a></h2>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git<span class="w"> </span>clone<span class="w"> </span>ssh://git@git.iqser.com:2222/rr/cv-analysis.git
<span class="nb">cd</span><span class="w"> </span>cv-analysis
python<span class="w"> </span>-m<span class="w"> </span>venv<span class="w"> </span>env
<span class="nb">source</span><span class="w"> </span>env/bin/activate
pip<span class="w"> </span>install<span class="w"> </span>-e<span class="w"> </span>.
pip<span class="w"> </span>install<span class="w"> </span>-r<span class="w"> </span>requirements.txt
dvc<span class="w"> </span>pull
</pre></div>
</div>
</section>
<section id="usage">
<h2>Usage<a class="headerlink" href="#usage" title="Link to this heading">#</a></h2>
<section id="as-an-api">
<h3>As an API<a class="headerlink" href="#as-an-api" title="Link to this heading">#</a></h3>
<p>The module provided functions for the individual tasks that all return some kind of collection of points, depending on
the specific task.</p>
<section id="redaction-detection-api">
<h4>Redaction Detection (API)<a class="headerlink" href="#redaction-detection-api" title="Link to this heading">#</a></h4>
<p>The below snippet shows hot to find the outlines of previous redactions.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">cv_analysis.redaction_detection</span> <span class="kn">import</span> <span class="n">find_redactions</span>
<span class="kn">import</span> <span class="nn">pdf2image</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="n">pdf_path</span> <span class="o">=</span> <span class="o">...</span>
<span class="n">page_index</span> <span class="o">=</span> <span class="o">...</span>
<span class="n">page</span> <span class="o">=</span> <span class="n">pdf2image</span><span class="o">.</span><span class="n">convert_from_path</span><span class="p">(</span><span class="n">pdf_path</span><span class="p">,</span> <span class="n">first_page</span><span class="o">=</span><span class="n">page_index</span><span class="p">,</span> <span class="n">last_page</span><span class="o">=</span><span class="n">page_index</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">page</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">page</span><span class="p">)</span>
<span class="n">redaction_contours</span> <span class="o">=</span> <span class="n">find_redactions</span><span class="p">(</span><span class="n">page</span><span class="p">)</span>
</pre></div>
</div>
</section>
</section>
</section>
<section id="as-a-cli-tool">
<h2>As a CLI Tool<a class="headerlink" href="#as-a-cli-tool" title="Link to this heading">#</a></h2>
<p>Core API functionalities can be used through a CLI.</p>
<section id="table-parsing">
<h3>Table Parsing<a class="headerlink" href="#table-parsing" title="Link to this heading">#</a></h3>
<p>The tables parsing utility detects and segments tables into individual cells.</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>scripts/annotate.py<span class="w"> </span>data/test_pdf.pdf<span class="w"> </span><span class="m">7</span><span class="w"> </span>--type<span class="w"> </span>table
</pre></div>
</div>
<p>The below image shows a parsed table, where each table cell has been detected individually.</p>
<p><img alt="Table Parsing Demonstration" src="_images/table_parsing.png" /></p>
</section>
<section id="redaction-detection-cli">
<h3>Redaction Detection (CLI)<a class="headerlink" href="#redaction-detection-cli" title="Link to this heading">#</a></h3>
<p>The redaction detection utility detects previous redactions in PDFs (filled black rectangles).</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>scripts/annotate.py<span class="w"> </span>data/test_pdf.pdf<span class="w"> </span><span class="m">2</span><span class="w"> </span>--type<span class="w"> </span>redaction
</pre></div>
</div>
<p>The below image shows the detected redactions with green outlines.</p>
<p><img alt="Redaction Detection Demonstration" src="_images/redaction_detection.png" /></p>
</section>
<section id="layout-parsing">
<h3>Layout Parsing<a class="headerlink" href="#layout-parsing" title="Link to this heading">#</a></h3>
<p>The layout parsing utility detects elements such as paragraphs, tables and figures.</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>scripts/annotate.py<span class="w"> </span>data/test_pdf.pdf<span class="w"> </span><span class="m">7</span><span class="w"> </span>--type<span class="w"> </span>layout
</pre></div>
</div>
<p>The below image shows the detected layout elements on a page.</p>
<p><img alt="Layout Parsing Demonstration" src="_images/layout_parsing.png" /></p>
</section>
<section id="figure-detection">
<h3>Figure Detection<a class="headerlink" href="#figure-detection" title="Link to this heading">#</a></h3>
<p>The figure detection utility detects figures specifically, which can be missed by the generic layout parsing utility.</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>scripts/annotate.py<span class="w"> </span>data/test_pdf.pdf<span class="w"> </span><span class="m">3</span><span class="w"> </span>--type<span class="w"> </span>figure
</pre></div>
</div>
<p>The below image shows the detected figure on a page.</p>
<p><img alt="Figure Detection Demonstration" src="_images/figure_detection.png" /></p>
</section>
</section>
<section id="running-as-a-service">
<h2>Running as a service<a class="headerlink" href="#running-as-a-service" title="Link to this heading">#</a></h2>
<section id="building">
<h3>Building<a class="headerlink" href="#building" title="Link to this heading">#</a></h3>
<p>Build base image</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>bash<span class="w"> </span>setup/docker.sh
</pre></div>
</div>
<p>Build head image</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>build<span class="w"> </span>-f<span class="w"> </span>Dockerfile<span class="w"> </span>-t<span class="w"> </span>cv-analysis<span class="w"> </span>.<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">BASE_ROOT</span><span class="o">=</span><span class="s2">&quot;&quot;</span>
</pre></div>
</div>
</section>
<section id="usage-service">
<h3>Usage (service)<a class="headerlink" href="#usage-service" title="Link to this heading">#</a></h3>
<p>Shell 1</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>run<span class="w"> </span>--rm<span class="w"> </span>--net<span class="o">=</span>host<span class="w"> </span>--rm<span class="w"> </span>cv-analysis
</pre></div>
</div>
<p>Shell 2</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>scripts/client_mock.py<span class="w"> </span>--pdf_path<span class="w"> </span>/path/to/a/pdf
</pre></div>
</div>
</section>
</section>
</section>
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# cv-analysis - Visual (CV-Based) Document Parsing
parse_pdf()
This repository implements computer vision based approaches for detecting and parsing visual features such as tables or
previous redactions in documents.
## API
Input message:
```json
{
"targetFilePath": {
"pdf": "absolute file path",
"vlp_output": "absolute file path"
},
"responseFilePath": "absolute file path",
"operation": "table_image_inference"
}
```
Response is uploaded to the storage as specified in the `responseFilePath` field. The structure is as follows:
```json
{
...,
"data": [
{
'pageNum': 0,
'bbox': {
'x1': 55.3407,
'y1': 247.0246,
'x2': 558.5602,
'y2': 598.0585
},
'uuid': '2b10c1a2-393c-4fca-b9e3-0ad5b774ac84',
'label': 'table',
'tableLines': [
{
'x1': 0,
'y1': 16,
'x2': 1399,
'y2': 16
},
...
],
'imageInfo': {
'height': 693,
'width': 1414
}
},
...
]
}
```
## Installation
```bash
git clone ssh://git@git.iqser.com:2222/rr/cv-analysis.git
cd cv-analysis
python -m venv env
source env/bin/activate
pip install -e .
pip install -r requirements.txt
dvc pull
```
## Usage
### As an API
The module provided functions for the individual tasks that all return some kind of collection of points, depending on
the specific task.
#### Redaction Detection (API)
The below snippet shows hot to find the outlines of previous redactions.
```python
from cv_analysis.redaction_detection import find_redactions
import pdf2image
import numpy as np
pdf_path = ...
page_index = ...
page = pdf2image.convert_from_path(pdf_path, first_page=page_index, last_page=page_index)[0]
page = np.array(page)
redaction_contours = find_redactions(page)
```
## As a CLI Tool
Core API functionalities can be used through a CLI.
### Table Parsing
The tables parsing utility detects and segments tables into individual cells.
```bash
python scripts/annotate.py data/test_pdf.pdf 7 --type table
```
The below image shows a parsed table, where each table cell has been detected individually.
![Table Parsing Demonstration](data/table_parsing.png)
### Redaction Detection (CLI)
The redaction detection utility detects previous redactions in PDFs (filled black rectangles).
```bash
python scripts/annotate.py data/test_pdf.pdf 2 --type redaction
```
The below image shows the detected redactions with green outlines.
![Redaction Detection Demonstration](data/redaction_detection.png)
### Layout Parsing
The layout parsing utility detects elements such as paragraphs, tables and figures.
```bash
python scripts/annotate.py data/test_pdf.pdf 7 --type layout
```
The below image shows the detected layout elements on a page.
![Layout Parsing Demonstration](data/layout_parsing.png)
### Figure Detection
The figure detection utility detects figures specifically, which can be missed by the generic layout parsing utility.
```bash
python scripts/annotate.py data/test_pdf.pdf 3 --type figure
```
The below image shows the detected figure on a page.
![Figure Detection Demonstration](data/figure_detection.png)
## Running as a service
### Building
Build base image
```bash
bash setup/docker.sh
```
Build head image
```bash
docker build -f Dockerfile -t cv-analysis . --build-arg BASE_ROOT=""
```
### Usage (service)
Shell 1
```bash
docker run --rm --net=host --rm cv-analysis
```
Shell 2
```bash
python scripts/client_mock.py --pdf_path /path/to/a/pdf
```

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.. Keyword Extraction Service documentation master file, created by
sphinx-quickstart on Mon Sep 12 12:04:24 2022.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
=============================================
Welcome to CV Analysis Service documentation!
=============================================
.. note::
If you'd like to change the looks of things 👉 https://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html
Table of Contents
-----------------
.. toctree::
:maxdepth: 3
:caption: README
README.md
.. toctree::
:maxdepth: 3
:caption: Modules
modules/cv_analysis
modules/serve
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`

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cv\_analysis.config module
==========================
.. automodule:: cv_analysis.config
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.figure\_detection.figure\_detection module
=======================================================
.. automodule:: cv_analysis.figure_detection.figure_detection
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.figure\_detection.figures module
=============================================
.. automodule:: cv_analysis.figure_detection.figures
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.figure\_detection package
======================================
.. automodule:: cv_analysis.figure_detection
:members:
:undoc-members:
:show-inheritance:
Submodules
----------
.. toctree::
:maxdepth: 4
cv_analysis.figure_detection.figure_detection
cv_analysis.figure_detection.figures
cv_analysis.figure_detection.text

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cv\_analysis.figure\_detection.text module
==========================================
.. automodule:: cv_analysis.figure_detection.text
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.layout\_parsing module
===================================
.. automodule:: cv_analysis.layout_parsing
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.locations module
=============================
.. automodule:: cv_analysis.locations
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.redaction\_detection module
========================================
.. automodule:: cv_analysis.redaction_detection
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis package
====================
.. automodule:: cv_analysis
:members:
:undoc-members:
:show-inheritance:
Subpackages
-----------
.. toctree::
:maxdepth: 4
cv_analysis.figure_detection
cv_analysis.server
cv_analysis.utils
Submodules
----------
.. toctree::
:maxdepth: 4
cv_analysis.config
cv_analysis.layout_parsing
cv_analysis.locations
cv_analysis.redaction_detection
cv_analysis.table_inference
cv_analysis.table_parsing

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cv\_analysis.server.pipeline module
===================================
.. automodule:: cv_analysis.server.pipeline
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.server package
===========================
.. automodule:: cv_analysis.server
:members:
:undoc-members:
:show-inheritance:
Submodules
----------
.. toctree::
:maxdepth: 4
cv_analysis.server.pipeline

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cv\_analysis.table\_inference module
====================================
.. automodule:: cv_analysis.table_inference
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.table\_parsing module
==================================
.. automodule:: cv_analysis.table_parsing
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.annotate module
==================================
.. automodule:: cv_analysis.utils.annotate
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.banner module
================================
.. automodule:: cv_analysis.utils.banner
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.connect\_rects module
========================================
.. automodule:: cv_analysis.utils.connect_rects
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.display module
=================================
.. automodule:: cv_analysis.utils.display
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.draw module
==============================
.. automodule:: cv_analysis.utils.draw
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.filters module
=================================
.. automodule:: cv_analysis.utils.filters
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.image\_extraction module
===========================================
.. automodule:: cv_analysis.utils.image_extraction
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.open\_pdf module
===================================
.. automodule:: cv_analysis.utils.open_pdf
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.postprocessing module
========================================
.. automodule:: cv_analysis.utils.postprocessing
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.preprocessing module
=======================================
.. automodule:: cv_analysis.utils.preprocessing
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils package
==========================
.. automodule:: cv_analysis.utils
:members:
:undoc-members:
:show-inheritance:
Submodules
----------
.. toctree::
:maxdepth: 4
cv_analysis.utils.annotate
cv_analysis.utils.banner
cv_analysis.utils.connect_rects
cv_analysis.utils.display
cv_analysis.utils.draw
cv_analysis.utils.filters
cv_analysis.utils.image_extraction
cv_analysis.utils.open_pdf
cv_analysis.utils.postprocessing
cv_analysis.utils.preprocessing
cv_analysis.utils.structures
cv_analysis.utils.test_metrics
cv_analysis.utils.utils
cv_analysis.utils.visual_logging

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cv\_analysis.utils.structures module
====================================
.. automodule:: cv_analysis.utils.structures
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.test\_metrics module
=======================================
.. automodule:: cv_analysis.utils.test_metrics
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.utils module
===============================
.. automodule:: cv_analysis.utils.utils
:members:
:undoc-members:
:show-inheritance:

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cv\_analysis.utils.visual\_logging module
=========================================
.. automodule:: cv_analysis.utils.visual_logging
:members:
:undoc-members:
:show-inheritance:

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serve module
============
.. automodule:: serve
:members:
:undoc-members:
:show-inheritance:

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* basic.css
* ~~~~~~~~~
*
* Sphinx stylesheet -- basic theme.
*
* :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
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/* -- main layout ----------------------------------------------------------- */
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clear: both;
}
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content: '';
clear: left;
}
/* -- relbar ---------------------------------------------------------------- */
div.related {
width: 100%;
font-size: 90%;
}
div.related h3 {
display: none;
}
div.related ul {
margin: 0;
padding: 0 0 0 10px;
list-style: none;
}
div.related li {
display: inline;
}
div.related li.right {
float: right;
margin-right: 5px;
}
/* -- sidebar --------------------------------------------------------------- */
div.sphinxsidebarwrapper {
padding: 10px 5px 0 10px;
}
div.sphinxsidebar {
float: left;
width: 270px;
margin-left: -100%;
font-size: 90%;
word-wrap: break-word;
overflow-wrap : break-word;
}
div.sphinxsidebar ul {
list-style: none;
}
div.sphinxsidebar ul ul,
div.sphinxsidebar ul.want-points {
margin-left: 20px;
list-style: square;
}
div.sphinxsidebar ul ul {
margin-top: 0;
margin-bottom: 0;
}
div.sphinxsidebar form {
margin-top: 10px;
}
div.sphinxsidebar input {
border: 1px solid #98dbcc;
font-family: sans-serif;
font-size: 1em;
}
div.sphinxsidebar #searchbox form.search {
overflow: hidden;
}
div.sphinxsidebar #searchbox input[type="text"] {
float: left;
width: 80%;
padding: 0.25em;
box-sizing: border-box;
}
div.sphinxsidebar #searchbox input[type="submit"] {
float: left;
width: 20%;
border-left: none;
padding: 0.25em;
box-sizing: border-box;
}
img {
border: 0;
max-width: 100%;
}
/* -- search page ----------------------------------------------------------- */
ul.search {
margin: 10px 0 0 20px;
padding: 0;
}
ul.search li {
padding: 5px 0 5px 20px;
background-image: url(file.png);
background-repeat: no-repeat;
background-position: 0 7px;
}
ul.search li a {
font-weight: bold;
}
ul.search li p.context {
color: #888;
margin: 2px 0 0 30px;
text-align: left;
}
ul.keywordmatches li.goodmatch a {
font-weight: bold;
}
/* -- index page ------------------------------------------------------------ */
table.contentstable {
width: 90%;
margin-left: auto;
margin-right: auto;
}
table.contentstable p.biglink {
line-height: 150%;
}
a.biglink {
font-size: 1.3em;
}
span.linkdescr {
font-style: italic;
padding-top: 5px;
font-size: 90%;
}
/* -- general index --------------------------------------------------------- */
table.indextable {
width: 100%;
}
table.indextable td {
text-align: left;
vertical-align: top;
}
table.indextable ul {
margin-top: 0;
margin-bottom: 0;
list-style-type: none;
}
table.indextable > tbody > tr > td > ul {
padding-left: 0em;
}
table.indextable tr.pcap {
height: 10px;
}
table.indextable tr.cap {
margin-top: 10px;
background-color: #f2f2f2;
}
img.toggler {
margin-right: 3px;
margin-top: 3px;
cursor: pointer;
}
div.modindex-jumpbox {
border-top: 1px solid #ddd;
border-bottom: 1px solid #ddd;
margin: 1em 0 1em 0;
padding: 0.4em;
}
div.genindex-jumpbox {
border-top: 1px solid #ddd;
border-bottom: 1px solid #ddd;
margin: 1em 0 1em 0;
padding: 0.4em;
}
/* -- domain module index --------------------------------------------------- */
table.modindextable td {
padding: 2px;
border-collapse: collapse;
}
/* -- general body styles --------------------------------------------------- */
div.body {
min-width: 360px;
max-width: 800px;
}
div.body p, div.body dd, div.body li, div.body blockquote {
-moz-hyphens: auto;
-ms-hyphens: auto;
-webkit-hyphens: auto;
hyphens: auto;
}
a.headerlink {
visibility: hidden;
}
a:visited {
color: #551A8B;
}
h1:hover > a.headerlink,
h2:hover > a.headerlink,
h3:hover > a.headerlink,
h4:hover > a.headerlink,
h5:hover > a.headerlink,
h6:hover > a.headerlink,
dt:hover > a.headerlink,
caption:hover > a.headerlink,
p.caption:hover > a.headerlink,
div.code-block-caption:hover > a.headerlink {
visibility: visible;
}
div.body p.caption {
text-align: inherit;
}
div.body td {
text-align: left;
}
.first {
margin-top: 0 !important;
}
p.rubric {
margin-top: 30px;
font-weight: bold;
}
img.align-left, figure.align-left, .figure.align-left, object.align-left {
clear: left;
float: left;
margin-right: 1em;
}
img.align-right, figure.align-right, .figure.align-right, object.align-right {
clear: right;
float: right;
margin-left: 1em;
}
img.align-center, figure.align-center, .figure.align-center, object.align-center {
display: block;
margin-left: auto;
margin-right: auto;
}
img.align-default, figure.align-default, .figure.align-default {
display: block;
margin-left: auto;
margin-right: auto;
}
.align-left {
text-align: left;
}
.align-center {
text-align: center;
}
.align-default {
text-align: center;
}
.align-right {
text-align: right;
}
/* -- sidebars -------------------------------------------------------------- */
div.sidebar,
aside.sidebar {
margin: 0 0 0.5em 1em;
border: 1px solid #ddb;
padding: 7px;
background-color: #ffe;
width: 40%;
float: right;
clear: right;
overflow-x: auto;
}
p.sidebar-title {
font-weight: bold;
}
nav.contents,
aside.topic,
div.admonition, div.topic, blockquote {
clear: left;
}
/* -- topics ---------------------------------------------------------------- */
nav.contents,
aside.topic,
div.topic {
border: 1px solid #ccc;
padding: 7px;
margin: 10px 0 10px 0;
}
p.topic-title {
font-size: 1.1em;
font-weight: bold;
margin-top: 10px;
}
/* -- admonitions ----------------------------------------------------------- */
div.admonition {
margin-top: 10px;
margin-bottom: 10px;
padding: 7px;
}
div.admonition dt {
font-weight: bold;
}
p.admonition-title {
margin: 0px 10px 5px 0px;
font-weight: bold;
}
div.body p.centered {
text-align: center;
margin-top: 25px;
}
/* -- content of sidebars/topics/admonitions -------------------------------- */
div.sidebar > :last-child,
aside.sidebar > :last-child,
nav.contents > :last-child,
aside.topic > :last-child,
div.topic > :last-child,
div.admonition > :last-child {
margin-bottom: 0;
}
div.sidebar::after,
aside.sidebar::after,
nav.contents::after,
aside.topic::after,
div.topic::after,
div.admonition::after,
blockquote::after {
display: block;
content: '';
clear: both;
}
/* -- tables ---------------------------------------------------------------- */
table.docutils {
margin-top: 10px;
margin-bottom: 10px;
border: 0;
border-collapse: collapse;
}
table.align-center {
margin-left: auto;
margin-right: auto;
}
table.align-default {
margin-left: auto;
margin-right: auto;
}
table caption span.caption-number {
font-style: italic;
}
table caption span.caption-text {
}
table.docutils td, table.docutils th {
padding: 1px 8px 1px 5px;
border-top: 0;
border-left: 0;
border-right: 0;
border-bottom: 1px solid #aaa;
}
th {
text-align: left;
padding-right: 5px;
}
table.citation {
border-left: solid 1px gray;
margin-left: 1px;
}
table.citation td {
border-bottom: none;
}
th > :first-child,
td > :first-child {
margin-top: 0px;
}
th > :last-child,
td > :last-child {
margin-bottom: 0px;
}
/* -- figures --------------------------------------------------------------- */
div.figure, figure {
margin: 0.5em;
padding: 0.5em;
}
div.figure p.caption, figcaption {
padding: 0.3em;
}
div.figure p.caption span.caption-number,
figcaption span.caption-number {
font-style: italic;
}
div.figure p.caption span.caption-text,
figcaption span.caption-text {
}
/* -- field list styles ----------------------------------------------------- */
table.field-list td, table.field-list th {
border: 0 !important;
}
.field-list ul {
margin: 0;
padding-left: 1em;
}
.field-list p {
margin: 0;
}
.field-name {
-moz-hyphens: manual;
-ms-hyphens: manual;
-webkit-hyphens: manual;
hyphens: manual;
}
/* -- hlist styles ---------------------------------------------------------- */
table.hlist {
margin: 1em 0;
}
table.hlist td {
vertical-align: top;
}
/* -- object description styles --------------------------------------------- */
.sig {
font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
}
.sig-name, code.descname {
background-color: transparent;
font-weight: bold;
}
.sig-name {
font-size: 1.1em;
}
code.descname {
font-size: 1.2em;
}
.sig-prename, code.descclassname {
background-color: transparent;
}
.optional {
font-size: 1.3em;
}
.sig-paren {
font-size: larger;
}
.sig-param.n {
font-style: italic;
}
/* C++ specific styling */
.sig-inline.c-texpr,
.sig-inline.cpp-texpr {
font-family: unset;
}
.sig.c .k, .sig.c .kt,
.sig.cpp .k, .sig.cpp .kt {
color: #0033B3;
}
.sig.c .m,
.sig.cpp .m {
color: #1750EB;
}
.sig.c .s, .sig.c .sc,
.sig.cpp .s, .sig.cpp .sc {
color: #067D17;
}
/* -- other body styles ----------------------------------------------------- */
ol.arabic {
list-style: decimal;
}
ol.loweralpha {
list-style: lower-alpha;
}
ol.upperalpha {
list-style: upper-alpha;
}
ol.lowerroman {
list-style: lower-roman;
}
ol.upperroman {
list-style: upper-roman;
}
:not(li) > ol > li:first-child > :first-child,
:not(li) > ul > li:first-child > :first-child {
margin-top: 0px;
}
:not(li) > ol > li:last-child > :last-child,
:not(li) > ul > li:last-child > :last-child {
margin-bottom: 0px;
}
ol.simple ol p,
ol.simple ul p,
ul.simple ol p,
ul.simple ul p {
margin-top: 0;
}
ol.simple > li:not(:first-child) > p,
ul.simple > li:not(:first-child) > p {
margin-top: 0;
}
ol.simple p,
ul.simple p {
margin-bottom: 0;
}
aside.footnote > span,
div.citation > span {
float: left;
}
aside.footnote > span:last-of-type,
div.citation > span:last-of-type {
padding-right: 0.5em;
}
aside.footnote > p {
margin-left: 2em;
}
div.citation > p {
margin-left: 4em;
}
aside.footnote > p:last-of-type,
div.citation > p:last-of-type {
margin-bottom: 0em;
}
aside.footnote > p:last-of-type:after,
div.citation > p:last-of-type:after {
content: "";
clear: both;
}
dl.field-list {
display: grid;
grid-template-columns: fit-content(30%) auto;
}
dl.field-list > dt {
font-weight: bold;
word-break: break-word;
padding-left: 0.5em;
padding-right: 5px;
}
dl.field-list > dd {
padding-left: 0.5em;
margin-top: 0em;
margin-left: 0em;
margin-bottom: 0em;
}
dl {
margin-bottom: 15px;
}
dd > :first-child {
margin-top: 0px;
}
dd ul, dd table {
margin-bottom: 10px;
}
dd {
margin-top: 3px;
margin-bottom: 10px;
margin-left: 30px;
}
.sig dd {
margin-top: 0px;
margin-bottom: 0px;
}
.sig dl {
margin-top: 0px;
margin-bottom: 0px;
}
dl > dd:last-child,
dl > dd:last-child > :last-child {
margin-bottom: 0;
}
dt:target, span.highlighted {
background-color: #fbe54e;
}
rect.highlighted {
fill: #fbe54e;
}
dl.glossary dt {
font-weight: bold;
font-size: 1.1em;
}
.versionmodified {
font-style: italic;
}
.system-message {
background-color: #fda;
padding: 5px;
border: 3px solid red;
}
.footnote:target {
background-color: #ffa;
}
.line-block {
display: block;
margin-top: 1em;
margin-bottom: 1em;
}
.line-block .line-block {
margin-top: 0;
margin-bottom: 0;
margin-left: 1.5em;
}
.guilabel, .menuselection {
font-family: sans-serif;
}
.accelerator {
text-decoration: underline;
}
.classifier {
font-style: oblique;
}
.classifier:before {
font-style: normal;
margin: 0 0.5em;
content: ":";
display: inline-block;
}
abbr, acronym {
border-bottom: dotted 1px;
cursor: help;
}
.translated {
background-color: rgba(207, 255, 207, 0.2)
}
.untranslated {
background-color: rgba(255, 207, 207, 0.2)
}
/* -- code displays --------------------------------------------------------- */
pre {
overflow: auto;
overflow-y: hidden; /* fixes display issues on Chrome browsers */
}
pre, div[class*="highlight-"] {
clear: both;
}
span.pre {
-moz-hyphens: none;
-ms-hyphens: none;
-webkit-hyphens: none;
hyphens: none;
white-space: nowrap;
}
div[class*="highlight-"] {
margin: 1em 0;
}
td.linenos pre {
border: 0;
background-color: transparent;
color: #aaa;
}
table.highlighttable {
display: block;
}
table.highlighttable tbody {
display: block;
}
table.highlighttable tr {
display: flex;
}
table.highlighttable td {
margin: 0;
padding: 0;
}
table.highlighttable td.linenos {
padding-right: 0.5em;
}
table.highlighttable td.code {
flex: 1;
overflow: hidden;
}
.highlight .hll {
display: block;
}
div.highlight pre,
table.highlighttable pre {
margin: 0;
}
div.code-block-caption + div {
margin-top: 0;
}
div.code-block-caption {
margin-top: 1em;
padding: 2px 5px;
font-size: small;
}
div.code-block-caption code {
background-color: transparent;
}
table.highlighttable td.linenos,
span.linenos,
div.highlight span.gp { /* gp: Generic.Prompt */
user-select: none;
-webkit-user-select: text; /* Safari fallback only */
-webkit-user-select: none; /* Chrome/Safari */
-moz-user-select: none; /* Firefox */
-ms-user-select: none; /* IE10+ */
}
div.code-block-caption span.caption-number {
padding: 0.1em 0.3em;
font-style: italic;
}
div.code-block-caption span.caption-text {
}
div.literal-block-wrapper {
margin: 1em 0;
}
code.xref, a code {
background-color: transparent;
font-weight: bold;
}
h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
background-color: transparent;
}
.viewcode-link {
float: right;
}
.viewcode-back {
float: right;
font-family: sans-serif;
}
div.viewcode-block:target {
margin: -1px -10px;
padding: 0 10px;
}
/* -- math display ---------------------------------------------------------- */
img.math {
vertical-align: middle;
}
div.body div.math p {
text-align: center;
}
span.eqno {
float: right;
}
span.eqno a.headerlink {
position: absolute;
z-index: 1;
}
div.math:hover a.headerlink {
visibility: visible;
}
/* -- printout stylesheet --------------------------------------------------- */
@media print {
div.document,
div.documentwrapper,
div.bodywrapper {
margin: 0 !important;
width: 100%;
}
div.sphinxsidebar,
div.related,
div.footer,
#top-link {
display: none;
}
}

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/*
* doctools.js
* ~~~~~~~~~~~
*
* Base JavaScript utilities for all Sphinx HTML documentation.
*
* :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
*
*/
"use strict";
const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([
"TEXTAREA",
"INPUT",
"SELECT",
"BUTTON",
]);
const _ready = (callback) => {
if (document.readyState !== "loading") {
callback();
} else {
document.addEventListener("DOMContentLoaded", callback);
}
};
/**
* Small JavaScript module for the documentation.
*/
const Documentation = {
init: () => {
Documentation.initDomainIndexTable();
Documentation.initOnKeyListeners();
},
/**
* i18n support
*/
TRANSLATIONS: {},
PLURAL_EXPR: (n) => (n === 1 ? 0 : 1),
LOCALE: "unknown",
// gettext and ngettext don't access this so that the functions
// can safely bound to a different name (_ = Documentation.gettext)
gettext: (string) => {
const translated = Documentation.TRANSLATIONS[string];
switch (typeof translated) {
case "undefined":
return string; // no translation
case "string":
return translated; // translation exists
default:
return translated[0]; // (singular, plural) translation tuple exists
}
},
ngettext: (singular, plural, n) => {
const translated = Documentation.TRANSLATIONS[singular];
if (typeof translated !== "undefined")
return translated[Documentation.PLURAL_EXPR(n)];
return n === 1 ? singular : plural;
},
addTranslations: (catalog) => {
Object.assign(Documentation.TRANSLATIONS, catalog.messages);
Documentation.PLURAL_EXPR = new Function(
"n",
`return (${catalog.plural_expr})`
);
Documentation.LOCALE = catalog.locale;
},
/**
* helper function to focus on search bar
*/
focusSearchBar: () => {
document.querySelectorAll("input[name=q]")[0]?.focus();
},
/**
* Initialise the domain index toggle buttons
*/
initDomainIndexTable: () => {
const toggler = (el) => {
const idNumber = el.id.substr(7);
const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`);
if (el.src.substr(-9) === "minus.png") {
el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`;
toggledRows.forEach((el) => (el.style.display = "none"));
} else {
el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`;
toggledRows.forEach((el) => (el.style.display = ""));
}
};
const togglerElements = document.querySelectorAll("img.toggler");
togglerElements.forEach((el) =>
el.addEventListener("click", (event) => toggler(event.currentTarget))
);
togglerElements.forEach((el) => (el.style.display = ""));
if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler);
},
initOnKeyListeners: () => {
// only install a listener if it is really needed
if (
!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS
)
return;
document.addEventListener("keydown", (event) => {
// bail for input elements
if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
// bail with special keys
if (event.altKey || event.ctrlKey || event.metaKey) return;
if (!event.shiftKey) {
switch (event.key) {
case "ArrowLeft":
if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
const prevLink = document.querySelector('link[rel="prev"]');
if (prevLink && prevLink.href) {
window.location.href = prevLink.href;
event.preventDefault();
}
break;
case "ArrowRight":
if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
const nextLink = document.querySelector('link[rel="next"]');
if (nextLink && nextLink.href) {
window.location.href = nextLink.href;
event.preventDefault();
}
break;
}
}
// some keyboard layouts may need Shift to get /
switch (event.key) {
case "/":
if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
Documentation.focusSearchBar();
event.preventDefault();
}
});
},
};
// quick alias for translations
const _ = Documentation.gettext;
_ready(Documentation.init);

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const DOCUMENTATION_OPTIONS = {
VERSION: '2.5.2',
LANGUAGE: 'en',
COLLAPSE_INDEX: false,
BUILDER: 'html',
FILE_SUFFIX: '.html',
LINK_SUFFIX: '.html',
HAS_SOURCE: true,
SOURCELINK_SUFFIX: '.txt',
NAVIGATION_WITH_KEYS: false,
SHOW_SEARCH_SUMMARY: true,
ENABLE_SEARCH_SHORTCUTS: true,
};

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199
docs/build/html/_static/language_data.js vendored Normal file
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/*
* language_data.js
* ~~~~~~~~~~~~~~~~
*
* This script contains the language-specific data used by searchtools.js,
* namely the list of stopwords, stemmer, scorer and splitter.
*
* :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
*
*/
var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"];
/* Non-minified version is copied as a separate JS file, if available */
/**
* Porter Stemmer
*/
var Stemmer = function() {
var step2list = {
ational: 'ate',
tional: 'tion',
enci: 'ence',
anci: 'ance',
izer: 'ize',
bli: 'ble',
alli: 'al',
entli: 'ent',
eli: 'e',
ousli: 'ous',
ization: 'ize',
ation: 'ate',
ator: 'ate',
alism: 'al',
iveness: 'ive',
fulness: 'ful',
ousness: 'ous',
aliti: 'al',
iviti: 'ive',
biliti: 'ble',
logi: 'log'
};
var step3list = {
icate: 'ic',
ative: '',
alize: 'al',
iciti: 'ic',
ical: 'ic',
ful: '',
ness: ''
};
var c = "[^aeiou]"; // consonant
var v = "[aeiouy]"; // vowel
var C = c + "[^aeiouy]*"; // consonant sequence
var V = v + "[aeiou]*"; // vowel sequence
var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0
var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1
var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1
var s_v = "^(" + C + ")?" + v; // vowel in stem
this.stemWord = function (w) {
var stem;
var suffix;
var firstch;
var origword = w;
if (w.length < 3)
return w;
var re;
var re2;
var re3;
var re4;
firstch = w.substr(0,1);
if (firstch == "y")
w = firstch.toUpperCase() + w.substr(1);
// Step 1a
re = /^(.+?)(ss|i)es$/;
re2 = /^(.+?)([^s])s$/;
if (re.test(w))
w = w.replace(re,"$1$2");
else if (re2.test(w))
w = w.replace(re2,"$1$2");
// Step 1b
re = /^(.+?)eed$/;
re2 = /^(.+?)(ed|ing)$/;
if (re.test(w)) {
var fp = re.exec(w);
re = new RegExp(mgr0);
if (re.test(fp[1])) {
re = /.$/;
w = w.replace(re,"");
}
}
else if (re2.test(w)) {
var fp = re2.exec(w);
stem = fp[1];
re2 = new RegExp(s_v);
if (re2.test(stem)) {
w = stem;
re2 = /(at|bl|iz)$/;
re3 = new RegExp("([^aeiouylsz])\\1$");
re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
if (re2.test(w))
w = w + "e";
else if (re3.test(w)) {
re = /.$/;
w = w.replace(re,"");
}
else if (re4.test(w))
w = w + "e";
}
}
// Step 1c
re = /^(.+?)y$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
re = new RegExp(s_v);
if (re.test(stem))
w = stem + "i";
}
// Step 2
re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
suffix = fp[2];
re = new RegExp(mgr0);
if (re.test(stem))
w = stem + step2list[suffix];
}
// Step 3
re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
suffix = fp[2];
re = new RegExp(mgr0);
if (re.test(stem))
w = stem + step3list[suffix];
}
// Step 4
re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
re2 = /^(.+?)(s|t)(ion)$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
re = new RegExp(mgr1);
if (re.test(stem))
w = stem;
}
else if (re2.test(w)) {
var fp = re2.exec(w);
stem = fp[1] + fp[2];
re2 = new RegExp(mgr1);
if (re2.test(stem))
w = stem;
}
// Step 5
re = /^(.+?)e$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
re = new RegExp(mgr1);
re2 = new RegExp(meq1);
re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
w = stem;
}
re = /ll$/;
re2 = new RegExp(mgr1);
if (re.test(w) && re2.test(w)) {
re = /.$/;
w = w.replace(re,"");
}
// and turn initial Y back to y
if (firstch == "y")
w = firstch.toLowerCase() + w.substr(1);
return w;
}
}

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html[data-theme="light"] .highlight pre { line-height: 125%; }
html[data-theme="light"] .highlight td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
html[data-theme="light"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
html[data-theme="light"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
html[data-theme="light"] .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
html[data-theme="light"] .highlight .hll { background-color: #7971292e }
html[data-theme="light"] .highlight { background: #fefefe; color: #545454 }
html[data-theme="light"] .highlight .c { color: #797129 } /* Comment */
html[data-theme="light"] .highlight .err { color: #d91e18 } /* Error */
html[data-theme="light"] .highlight .k { color: #7928a1 } /* Keyword */
html[data-theme="light"] .highlight .l { color: #797129 } /* Literal */
html[data-theme="light"] .highlight .n { color: #545454 } /* Name */
html[data-theme="light"] .highlight .o { color: #008000 } /* Operator */
html[data-theme="light"] .highlight .p { color: #545454 } /* Punctuation */
html[data-theme="light"] .highlight .ch { color: #797129 } /* Comment.Hashbang */
html[data-theme="light"] .highlight .cm { color: #797129 } /* Comment.Multiline */
html[data-theme="light"] .highlight .cp { color: #797129 } /* Comment.Preproc */
html[data-theme="light"] .highlight .cpf { color: #797129 } /* Comment.PreprocFile */
html[data-theme="light"] .highlight .c1 { color: #797129 } /* Comment.Single */
html[data-theme="light"] .highlight .cs { color: #797129 } /* Comment.Special */
html[data-theme="light"] .highlight .gd { color: #007faa } /* Generic.Deleted */
html[data-theme="light"] .highlight .ge { font-style: italic } /* Generic.Emph */
html[data-theme="light"] .highlight .gh { color: #007faa } /* Generic.Heading */
html[data-theme="light"] .highlight .gs { font-weight: bold } /* Generic.Strong */
html[data-theme="light"] .highlight .gu { color: #007faa } /* Generic.Subheading */
html[data-theme="light"] .highlight .kc { color: #7928a1 } /* Keyword.Constant */
html[data-theme="light"] .highlight .kd { color: #7928a1 } /* Keyword.Declaration */
html[data-theme="light"] .highlight .kn { color: #7928a1 } /* Keyword.Namespace */
html[data-theme="light"] .highlight .kp { color: #7928a1 } /* Keyword.Pseudo */
html[data-theme="light"] .highlight .kr { color: #7928a1 } /* Keyword.Reserved */
html[data-theme="light"] .highlight .kt { color: #797129 } /* Keyword.Type */
html[data-theme="light"] .highlight .ld { color: #797129 } /* Literal.Date */
html[data-theme="light"] .highlight .m { color: #797129 } /* Literal.Number */
html[data-theme="light"] .highlight .s { color: #008000 } /* Literal.String */
html[data-theme="light"] .highlight .na { color: #797129 } /* Name.Attribute */
html[data-theme="light"] .highlight .nb { color: #797129 } /* Name.Builtin */
html[data-theme="light"] .highlight .nc { color: #007faa } /* Name.Class */
html[data-theme="light"] .highlight .no { color: #007faa } /* Name.Constant */
html[data-theme="light"] .highlight .nd { color: #797129 } /* Name.Decorator */
html[data-theme="light"] .highlight .ni { color: #008000 } /* Name.Entity */
html[data-theme="light"] .highlight .ne { color: #7928a1 } /* Name.Exception */
html[data-theme="light"] .highlight .nf { color: #007faa } /* Name.Function */
html[data-theme="light"] .highlight .nl { color: #797129 } /* Name.Label */
html[data-theme="light"] .highlight .nn { color: #545454 } /* Name.Namespace */
html[data-theme="light"] .highlight .nx { color: #545454 } /* Name.Other */
html[data-theme="light"] .highlight .py { color: #007faa } /* Name.Property */
html[data-theme="light"] .highlight .nt { color: #007faa } /* Name.Tag */
html[data-theme="light"] .highlight .nv { color: #d91e18 } /* Name.Variable */
html[data-theme="light"] .highlight .ow { color: #7928a1 } /* Operator.Word */
html[data-theme="light"] .highlight .pm { color: #545454 } /* Punctuation.Marker */
html[data-theme="light"] .highlight .w { color: #545454 } /* Text.Whitespace */
html[data-theme="light"] .highlight .mb { color: #797129 } /* Literal.Number.Bin */
html[data-theme="light"] .highlight .mf { color: #797129 } /* Literal.Number.Float */
html[data-theme="light"] .highlight .mh { color: #797129 } /* Literal.Number.Hex */
html[data-theme="light"] .highlight .mi { color: #797129 } /* Literal.Number.Integer */
html[data-theme="light"] .highlight .mo { color: #797129 } /* Literal.Number.Oct */
html[data-theme="light"] .highlight .sa { color: #008000 } /* Literal.String.Affix */
html[data-theme="light"] .highlight .sb { color: #008000 } /* Literal.String.Backtick */
html[data-theme="light"] .highlight .sc { color: #008000 } /* Literal.String.Char */
html[data-theme="light"] .highlight .dl { color: #008000 } /* Literal.String.Delimiter */
html[data-theme="light"] .highlight .sd { color: #008000 } /* Literal.String.Doc */
html[data-theme="light"] .highlight .s2 { color: #008000 } /* Literal.String.Double */
html[data-theme="light"] .highlight .se { color: #008000 } /* Literal.String.Escape */
html[data-theme="light"] .highlight .sh { color: #008000 } /* Literal.String.Heredoc */
html[data-theme="light"] .highlight .si { color: #008000 } /* Literal.String.Interpol */
html[data-theme="light"] .highlight .sx { color: #008000 } /* Literal.String.Other */
html[data-theme="light"] .highlight .sr { color: #d91e18 } /* Literal.String.Regex */
html[data-theme="light"] .highlight .s1 { color: #008000 } /* Literal.String.Single */
html[data-theme="light"] .highlight .ss { color: #007faa } /* Literal.String.Symbol */
html[data-theme="light"] .highlight .bp { color: #797129 } /* Name.Builtin.Pseudo */
html[data-theme="light"] .highlight .fm { color: #007faa } /* Name.Function.Magic */
html[data-theme="light"] .highlight .vc { color: #d91e18 } /* Name.Variable.Class */
html[data-theme="light"] .highlight .vg { color: #d91e18 } /* Name.Variable.Global */
html[data-theme="light"] .highlight .vi { color: #d91e18 } /* Name.Variable.Instance */
html[data-theme="light"] .highlight .vm { color: #797129 } /* Name.Variable.Magic */
html[data-theme="light"] .highlight .il { color: #797129 } /* Literal.Number.Integer.Long */
html[data-theme="dark"] .highlight pre { line-height: 125%; }
html[data-theme="dark"] .highlight td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
html[data-theme="dark"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
html[data-theme="dark"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
html[data-theme="dark"] .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
html[data-theme="dark"] .highlight .hll { background-color: #ffd9002e }
html[data-theme="dark"] .highlight { background: #2b2b2b; color: #f8f8f2 }
html[data-theme="dark"] .highlight .c { color: #ffd900 } /* Comment */
html[data-theme="dark"] .highlight .err { color: #ffa07a } /* Error */
html[data-theme="dark"] .highlight .k { color: #dcc6e0 } /* Keyword */
html[data-theme="dark"] .highlight .l { color: #ffd900 } /* Literal */
html[data-theme="dark"] .highlight .n { color: #f8f8f2 } /* Name */
html[data-theme="dark"] .highlight .o { color: #abe338 } /* Operator */
html[data-theme="dark"] .highlight .p { color: #f8f8f2 } /* Punctuation */
html[data-theme="dark"] .highlight .ch { color: #ffd900 } /* Comment.Hashbang */
html[data-theme="dark"] .highlight .cm { color: #ffd900 } /* Comment.Multiline */
html[data-theme="dark"] .highlight .cp { color: #ffd900 } /* Comment.Preproc */
html[data-theme="dark"] .highlight .cpf { color: #ffd900 } /* Comment.PreprocFile */
html[data-theme="dark"] .highlight .c1 { color: #ffd900 } /* Comment.Single */
html[data-theme="dark"] .highlight .cs { color: #ffd900 } /* Comment.Special */
html[data-theme="dark"] .highlight .gd { color: #00e0e0 } /* Generic.Deleted */
html[data-theme="dark"] .highlight .ge { font-style: italic } /* Generic.Emph */
html[data-theme="dark"] .highlight .gh { color: #00e0e0 } /* Generic.Heading */
html[data-theme="dark"] .highlight .gs { font-weight: bold } /* Generic.Strong */
html[data-theme="dark"] .highlight .gu { color: #00e0e0 } /* Generic.Subheading */
html[data-theme="dark"] .highlight .kc { color: #dcc6e0 } /* Keyword.Constant */
html[data-theme="dark"] .highlight .kd { color: #dcc6e0 } /* Keyword.Declaration */
html[data-theme="dark"] .highlight .kn { color: #dcc6e0 } /* Keyword.Namespace */
html[data-theme="dark"] .highlight .kp { color: #dcc6e0 } /* Keyword.Pseudo */
html[data-theme="dark"] .highlight .kr { color: #dcc6e0 } /* Keyword.Reserved */
html[data-theme="dark"] .highlight .kt { color: #ffd900 } /* Keyword.Type */
html[data-theme="dark"] .highlight .ld { color: #ffd900 } /* Literal.Date */
html[data-theme="dark"] .highlight .m { color: #ffd900 } /* Literal.Number */
html[data-theme="dark"] .highlight .s { color: #abe338 } /* Literal.String */
html[data-theme="dark"] .highlight .na { color: #ffd900 } /* Name.Attribute */
html[data-theme="dark"] .highlight .nb { color: #ffd900 } /* Name.Builtin */
html[data-theme="dark"] .highlight .nc { color: #00e0e0 } /* Name.Class */
html[data-theme="dark"] .highlight .no { color: #00e0e0 } /* Name.Constant */
html[data-theme="dark"] .highlight .nd { color: #ffd900 } /* Name.Decorator */
html[data-theme="dark"] .highlight .ni { color: #abe338 } /* Name.Entity */
html[data-theme="dark"] .highlight .ne { color: #dcc6e0 } /* Name.Exception */
html[data-theme="dark"] .highlight .nf { color: #00e0e0 } /* Name.Function */
html[data-theme="dark"] .highlight .nl { color: #ffd900 } /* Name.Label */
html[data-theme="dark"] .highlight .nn { color: #f8f8f2 } /* Name.Namespace */
html[data-theme="dark"] .highlight .nx { color: #f8f8f2 } /* Name.Other */
html[data-theme="dark"] .highlight .py { color: #00e0e0 } /* Name.Property */
html[data-theme="dark"] .highlight .nt { color: #00e0e0 } /* Name.Tag */
html[data-theme="dark"] .highlight .nv { color: #ffa07a } /* Name.Variable */
html[data-theme="dark"] .highlight .ow { color: #dcc6e0 } /* Operator.Word */
html[data-theme="dark"] .highlight .pm { color: #f8f8f2 } /* Punctuation.Marker */
html[data-theme="dark"] .highlight .w { color: #f8f8f2 } /* Text.Whitespace */
html[data-theme="dark"] .highlight .mb { color: #ffd900 } /* Literal.Number.Bin */
html[data-theme="dark"] .highlight .mf { color: #ffd900 } /* Literal.Number.Float */
html[data-theme="dark"] .highlight .mh { color: #ffd900 } /* Literal.Number.Hex */
html[data-theme="dark"] .highlight .mi { color: #ffd900 } /* Literal.Number.Integer */
html[data-theme="dark"] .highlight .mo { color: #ffd900 } /* Literal.Number.Oct */
html[data-theme="dark"] .highlight .sa { color: #abe338 } /* Literal.String.Affix */
html[data-theme="dark"] .highlight .sb { color: #abe338 } /* Literal.String.Backtick */
html[data-theme="dark"] .highlight .sc { color: #abe338 } /* Literal.String.Char */
html[data-theme="dark"] .highlight .dl { color: #abe338 } /* Literal.String.Delimiter */
html[data-theme="dark"] .highlight .sd { color: #abe338 } /* Literal.String.Doc */
html[data-theme="dark"] .highlight .s2 { color: #abe338 } /* Literal.String.Double */
html[data-theme="dark"] .highlight .se { color: #abe338 } /* Literal.String.Escape */
html[data-theme="dark"] .highlight .sh { color: #abe338 } /* Literal.String.Heredoc */
html[data-theme="dark"] .highlight .si { color: #abe338 } /* Literal.String.Interpol */
html[data-theme="dark"] .highlight .sx { color: #abe338 } /* Literal.String.Other */
html[data-theme="dark"] .highlight .sr { color: #ffa07a } /* Literal.String.Regex */
html[data-theme="dark"] .highlight .s1 { color: #abe338 } /* Literal.String.Single */
html[data-theme="dark"] .highlight .ss { color: #00e0e0 } /* Literal.String.Symbol */
html[data-theme="dark"] .highlight .bp { color: #ffd900 } /* Name.Builtin.Pseudo */
html[data-theme="dark"] .highlight .fm { color: #00e0e0 } /* Name.Function.Magic */
html[data-theme="dark"] .highlight .vc { color: #ffa07a } /* Name.Variable.Class */
html[data-theme="dark"] .highlight .vg { color: #ffa07a } /* Name.Variable.Global */
html[data-theme="dark"] .highlight .vi { color: #ffa07a } /* Name.Variable.Instance */
html[data-theme="dark"] .highlight .vm { color: #ffd900 } /* Name.Variable.Magic */
html[data-theme="dark"] .highlight .il { color: #ffd900 } /* Literal.Number.Integer.Long */

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/*!
* Bootstrap v5.3.2 (https://getbootstrap.com/)
* Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
*/

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/*
* searchtools.js
* ~~~~~~~~~~~~~~~~
*
* Sphinx JavaScript utilities for the full-text search.
*
* :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
*
*/
"use strict";
/**
* Simple result scoring code.
*/
if (typeof Scorer === "undefined") {
var Scorer = {
// Implement the following function to further tweak the score for each result
// The function takes a result array [docname, title, anchor, descr, score, filename]
// and returns the new score.
/*
score: result => {
const [docname, title, anchor, descr, score, filename] = result
return score
},
*/
// query matches the full name of an object
objNameMatch: 11,
// or matches in the last dotted part of the object name
objPartialMatch: 6,
// Additive scores depending on the priority of the object
objPrio: {
0: 15, // used to be importantResults
1: 5, // used to be objectResults
2: -5, // used to be unimportantResults
},
// Used when the priority is not in the mapping.
objPrioDefault: 0,
// query found in title
title: 15,
partialTitle: 7,
// query found in terms
term: 5,
partialTerm: 2,
};
}
const _removeChildren = (element) => {
while (element && element.lastChild) element.removeChild(element.lastChild);
};
/**
* See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping
*/
const _escapeRegExp = (string) =>
string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
const _displayItem = (item, searchTerms, highlightTerms) => {
const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
const contentRoot = document.documentElement.dataset.content_root;
const [docName, title, anchor, descr, score, _filename] = item;
let listItem = document.createElement("li");
let requestUrl;
let linkUrl;
if (docBuilder === "dirhtml") {
// dirhtml builder
let dirname = docName + "/";
if (dirname.match(/\/index\/$/))
dirname = dirname.substring(0, dirname.length - 6);
else if (dirname === "index/") dirname = "";
requestUrl = contentRoot + dirname;
linkUrl = requestUrl;
} else {
// normal html builders
requestUrl = contentRoot + docName + docFileSuffix;
linkUrl = docName + docLinkSuffix;
}
let linkEl = listItem.appendChild(document.createElement("a"));
linkEl.href = linkUrl + anchor;
linkEl.dataset.score = score;
linkEl.innerHTML = title;
if (descr) {
listItem.appendChild(document.createElement("span")).innerHTML =
" (" + descr + ")";
// highlight search terms in the description
if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js
highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
}
else if (showSearchSummary)
fetch(requestUrl)
.then((responseData) => responseData.text())
.then((data) => {
if (data)
listItem.appendChild(
Search.makeSearchSummary(data, searchTerms, anchor)
);
// highlight search terms in the summary
if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js
highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
});
Search.output.appendChild(listItem);
};
const _finishSearch = (resultCount) => {
Search.stopPulse();
Search.title.innerText = _("Search Results");
if (!resultCount)
Search.status.innerText = Documentation.gettext(
"Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories."
);
else
Search.status.innerText = _(
"Search finished, found ${resultCount} page(s) matching the search query."
).replace('${resultCount}', resultCount);
};
const _displayNextItem = (
results,
resultCount,
searchTerms,
highlightTerms,
) => {
// results left, load the summary and display it
// this is intended to be dynamic (don't sub resultsCount)
if (results.length) {
_displayItem(results.pop(), searchTerms, highlightTerms);
setTimeout(
() => _displayNextItem(results, resultCount, searchTerms, highlightTerms),
5
);
}
// search finished, update title and status message
else _finishSearch(resultCount);
};
// Helper function used by query() to order search results.
// Each input is an array of [docname, title, anchor, descr, score, filename].
// Order the results by score (in opposite order of appearance, since the
// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically.
const _orderResultsByScoreThenName = (a, b) => {
const leftScore = a[4];
const rightScore = b[4];
if (leftScore === rightScore) {
// same score: sort alphabetically
const leftTitle = a[1].toLowerCase();
const rightTitle = b[1].toLowerCase();
if (leftTitle === rightTitle) return 0;
return leftTitle > rightTitle ? -1 : 1; // inverted is intentional
}
return leftScore > rightScore ? 1 : -1;
};
/**
* Default splitQuery function. Can be overridden in ``sphinx.search`` with a
* custom function per language.
*
* The regular expression works by splitting the string on consecutive characters
* that are not Unicode letters, numbers, underscores, or emoji characters.
* This is the same as ``\W+`` in Python, preserving the surrogate pair area.
*/
if (typeof splitQuery === "undefined") {
var splitQuery = (query) => query
.split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu)
.filter(term => term) // remove remaining empty strings
}
/**
* Search Module
*/
const Search = {
_index: null,
_queued_query: null,
_pulse_status: -1,
htmlToText: (htmlString, anchor) => {
const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
for (const removalQuery of [".headerlinks", "script", "style"]) {
htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() });
}
if (anchor) {
const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`);
if (anchorContent) return anchorContent.textContent;
console.warn(
`Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.`
);
}
// if anchor not specified or not found, fall back to main content
const docContent = htmlElement.querySelector('[role="main"]');
if (docContent) return docContent.textContent;
console.warn(
"Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template."
);
return "";
},
init: () => {
const query = new URLSearchParams(window.location.search).get("q");
document
.querySelectorAll('input[name="q"]')
.forEach((el) => (el.value = query));
if (query) Search.performSearch(query);
},
loadIndex: (url) =>
(document.body.appendChild(document.createElement("script")).src = url),
setIndex: (index) => {
Search._index = index;
if (Search._queued_query !== null) {
const query = Search._queued_query;
Search._queued_query = null;
Search.query(query);
}
},
hasIndex: () => Search._index !== null,
deferQuery: (query) => (Search._queued_query = query),
stopPulse: () => (Search._pulse_status = -1),
startPulse: () => {
if (Search._pulse_status >= 0) return;
const pulse = () => {
Search._pulse_status = (Search._pulse_status + 1) % 4;
Search.dots.innerText = ".".repeat(Search._pulse_status);
if (Search._pulse_status >= 0) window.setTimeout(pulse, 500);
};
pulse();
},
/**
* perform a search for something (or wait until index is loaded)
*/
performSearch: (query) => {
// create the required interface elements
const searchText = document.createElement("h2");
searchText.textContent = _("Searching");
const searchSummary = document.createElement("p");
searchSummary.classList.add("search-summary");
searchSummary.innerText = "";
const searchList = document.createElement("ul");
searchList.classList.add("search");
const out = document.getElementById("search-results");
Search.title = out.appendChild(searchText);
Search.dots = Search.title.appendChild(document.createElement("span"));
Search.status = out.appendChild(searchSummary);
Search.output = out.appendChild(searchList);
const searchProgress = document.getElementById("search-progress");
// Some themes don't use the search progress node
if (searchProgress) {
searchProgress.innerText = _("Preparing search...");
}
Search.startPulse();
// index already loaded, the browser was quick!
if (Search.hasIndex()) Search.query(query);
else Search.deferQuery(query);
},
_parseQuery: (query) => {
// stem the search terms and add them to the correct list
const stemmer = new Stemmer();
const searchTerms = new Set();
const excludedTerms = new Set();
const highlightTerms = new Set();
const objectTerms = new Set(splitQuery(query.toLowerCase().trim()));
splitQuery(query.trim()).forEach((queryTerm) => {
const queryTermLower = queryTerm.toLowerCase();
// maybe skip this "word"
// stopwords array is from language_data.js
if (
stopwords.indexOf(queryTermLower) !== -1 ||
queryTerm.match(/^\d+$/)
)
return;
// stem the word
let word = stemmer.stemWord(queryTermLower);
// select the correct list
if (word[0] === "-") excludedTerms.add(word.substr(1));
else {
searchTerms.add(word);
highlightTerms.add(queryTermLower);
}
});
if (SPHINX_HIGHLIGHT_ENABLED) { // set in sphinx_highlight.js
localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" "))
}
// console.debug("SEARCH: searching for:");
// console.info("required: ", [...searchTerms]);
// console.info("excluded: ", [...excludedTerms]);
return [query, searchTerms, excludedTerms, highlightTerms, objectTerms];
},
/**
* execute search (requires search index to be loaded)
*/
_performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => {
const filenames = Search._index.filenames;
const docNames = Search._index.docnames;
const titles = Search._index.titles;
const allTitles = Search._index.alltitles;
const indexEntries = Search._index.indexentries;
// Collect multiple result groups to be sorted separately and then ordered.
// Each is an array of [docname, title, anchor, descr, score, filename].
const normalResults = [];
const nonMainIndexResults = [];
_removeChildren(document.getElementById("search-progress"));
const queryLower = query.toLowerCase().trim();
for (const [title, foundTitles] of Object.entries(allTitles)) {
if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) {
for (const [file, id] of foundTitles) {
let score = Math.round(100 * queryLower.length / title.length)
normalResults.push([
docNames[file],
titles[file] !== title ? `${titles[file]} > ${title}` : title,
id !== null ? "#" + id : "",
null,
score,
filenames[file],
]);
}
}
}
// search for explicit entries in index directives
for (const [entry, foundEntries] of Object.entries(indexEntries)) {
if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
for (const [file, id, isMain] of foundEntries) {
const score = Math.round(100 * queryLower.length / entry.length);
const result = [
docNames[file],
titles[file],
id ? "#" + id : "",
null,
score,
filenames[file],
];
if (isMain) {
normalResults.push(result);
} else {
nonMainIndexResults.push(result);
}
}
}
}
// lookup as object
objectTerms.forEach((term) =>
normalResults.push(...Search.performObjectSearch(term, objectTerms))
);
// lookup as search terms in fulltext
normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms));
// let the scorer override scores with a custom scoring function
if (Scorer.score) {
normalResults.forEach((item) => (item[4] = Scorer.score(item)));
nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item)));
}
// Sort each group of results by score and then alphabetically by name.
normalResults.sort(_orderResultsByScoreThenName);
nonMainIndexResults.sort(_orderResultsByScoreThenName);
// Combine the result groups in (reverse) order.
// Non-main index entries are typically arbitrary cross-references,
// so display them after other results.
let results = [...nonMainIndexResults, ...normalResults];
// remove duplicate search results
// note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept
let seen = new Set();
results = results.reverse().reduce((acc, result) => {
let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(',');
if (!seen.has(resultStr)) {
acc.push(result);
seen.add(resultStr);
}
return acc;
}, []);
return results.reverse();
},
query: (query) => {
const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query);
const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms);
// for debugging
//Search.lastresults = results.slice(); // a copy
// console.info("search results:", Search.lastresults);
// print the results
_displayNextItem(results, results.length, searchTerms, highlightTerms);
},
/**
* search for object names
*/
performObjectSearch: (object, objectTerms) => {
const filenames = Search._index.filenames;
const docNames = Search._index.docnames;
const objects = Search._index.objects;
const objNames = Search._index.objnames;
const titles = Search._index.titles;
const results = [];
const objectSearchCallback = (prefix, match) => {
const name = match[4]
const fullname = (prefix ? prefix + "." : "") + name;
const fullnameLower = fullname.toLowerCase();
if (fullnameLower.indexOf(object) < 0) return;
let score = 0;
const parts = fullnameLower.split(".");
// check for different match types: exact matches of full name or
// "last name" (i.e. last dotted part)
if (fullnameLower === object || parts.slice(-1)[0] === object)
score += Scorer.objNameMatch;
else if (parts.slice(-1)[0].indexOf(object) > -1)
score += Scorer.objPartialMatch; // matches in last name
const objName = objNames[match[1]][2];
const title = titles[match[0]];
// If more than one term searched for, we require other words to be
// found in the name/title/description
const otherTerms = new Set(objectTerms);
otherTerms.delete(object);
if (otherTerms.size > 0) {
const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase();
if (
[...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0)
)
return;
}
let anchor = match[3];
if (anchor === "") anchor = fullname;
else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname;
const descr = objName + _(", in ") + title;
// add custom score for some objects according to scorer
if (Scorer.objPrio.hasOwnProperty(match[2]))
score += Scorer.objPrio[match[2]];
else score += Scorer.objPrioDefault;
results.push([
docNames[match[0]],
fullname,
"#" + anchor,
descr,
score,
filenames[match[0]],
]);
};
Object.keys(objects).forEach((prefix) =>
objects[prefix].forEach((array) =>
objectSearchCallback(prefix, array)
)
);
return results;
},
/**
* search for full-text terms in the index
*/
performTermsSearch: (searchTerms, excludedTerms) => {
// prepare search
const terms = Search._index.terms;
const titleTerms = Search._index.titleterms;
const filenames = Search._index.filenames;
const docNames = Search._index.docnames;
const titles = Search._index.titles;
const scoreMap = new Map();
const fileMap = new Map();
// perform the search on the required terms
searchTerms.forEach((word) => {
const files = [];
const arr = [
{ files: terms[word], score: Scorer.term },
{ files: titleTerms[word], score: Scorer.title },
];
// add support for partial matches
if (word.length > 2) {
const escapedWord = _escapeRegExp(word);
if (!terms.hasOwnProperty(word)) {
Object.keys(terms).forEach((term) => {
if (term.match(escapedWord))
arr.push({ files: terms[term], score: Scorer.partialTerm });
});
}
if (!titleTerms.hasOwnProperty(word)) {
Object.keys(titleTerms).forEach((term) => {
if (term.match(escapedWord))
arr.push({ files: titleTerms[term], score: Scorer.partialTitle });
});
}
}
// no match but word was a required one
if (arr.every((record) => record.files === undefined)) return;
// found search word in contents
arr.forEach((record) => {
if (record.files === undefined) return;
let recordFiles = record.files;
if (recordFiles.length === undefined) recordFiles = [recordFiles];
files.push(...recordFiles);
// set score for the word in each file
recordFiles.forEach((file) => {
if (!scoreMap.has(file)) scoreMap.set(file, {});
scoreMap.get(file)[word] = record.score;
});
});
// create the mapping
files.forEach((file) => {
if (!fileMap.has(file)) fileMap.set(file, [word]);
else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word);
});
});
// now check if the files don't contain excluded terms
const results = [];
for (const [file, wordList] of fileMap) {
// check if all requirements are matched
// as search terms with length < 3 are discarded
const filteredTermCount = [...searchTerms].filter(
(term) => term.length > 2
).length;
if (
wordList.length !== searchTerms.size &&
wordList.length !== filteredTermCount
)
continue;
// ensure that none of the excluded terms is in the search result
if (
[...excludedTerms].some(
(term) =>
terms[term] === file ||
titleTerms[term] === file ||
(terms[term] || []).includes(file) ||
(titleTerms[term] || []).includes(file)
)
)
break;
// select one (max) score for the file.
const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w]));
// add result to the result list
results.push([
docNames[file],
titles[file],
"",
null,
score,
filenames[file],
]);
}
return results;
},
/**
* helper function to return a node containing the
* search summary for a given text. keywords is a list
* of stemmed words.
*/
makeSearchSummary: (htmlText, keywords, anchor) => {
const text = Search.htmlToText(htmlText, anchor);
if (text === "") return null;
const textLower = text.toLowerCase();
const actualStartPosition = [...keywords]
.map((k) => textLower.indexOf(k.toLowerCase()))
.filter((i) => i > -1)
.slice(-1)[0];
const startWithContext = Math.max(actualStartPosition - 120, 0);
const top = startWithContext === 0 ? "" : "...";
const tail = startWithContext + 240 < text.length ? "..." : "";
let summary = document.createElement("p");
summary.classList.add("context");
summary.textContent = top + text.substr(startWithContext, 240).trim() + tail;
return summary;
},
};
/* Search initialization removed for Read the Docs */

View File

@ -0,0 +1,154 @@
/* Highlighting utilities for Sphinx HTML documentation. */
"use strict";
const SPHINX_HIGHLIGHT_ENABLED = true
/**
* highlight a given string on a node by wrapping it in
* span elements with the given class name.
*/
const _highlight = (node, addItems, text, className) => {
if (node.nodeType === Node.TEXT_NODE) {
const val = node.nodeValue;
const parent = node.parentNode;
const pos = val.toLowerCase().indexOf(text);
if (
pos >= 0 &&
!parent.classList.contains(className) &&
!parent.classList.contains("nohighlight")
) {
let span;
const closestNode = parent.closest("body, svg, foreignObject");
const isInSVG = closestNode && closestNode.matches("svg");
if (isInSVG) {
span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
} else {
span = document.createElement("span");
span.classList.add(className);
}
span.appendChild(document.createTextNode(val.substr(pos, text.length)));
const rest = document.createTextNode(val.substr(pos + text.length));
parent.insertBefore(
span,
parent.insertBefore(
rest,
node.nextSibling
)
);
node.nodeValue = val.substr(0, pos);
/* There may be more occurrences of search term in this node. So call this
* function recursively on the remaining fragment.
*/
_highlight(rest, addItems, text, className);
if (isInSVG) {
const rect = document.createElementNS(
"http://www.w3.org/2000/svg",
"rect"
);
const bbox = parent.getBBox();
rect.x.baseVal.value = bbox.x;
rect.y.baseVal.value = bbox.y;
rect.width.baseVal.value = bbox.width;
rect.height.baseVal.value = bbox.height;
rect.setAttribute("class", className);
addItems.push({ parent: parent, target: rect });
}
}
} else if (node.matches && !node.matches("button, select, textarea")) {
node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
}
};
const _highlightText = (thisNode, text, className) => {
let addItems = [];
_highlight(thisNode, addItems, text, className);
addItems.forEach((obj) =>
obj.parent.insertAdjacentElement("beforebegin", obj.target)
);
};
/**
* Small JavaScript module for the documentation.
*/
const SphinxHighlight = {
/**
* highlight the search words provided in localstorage in the text
*/
highlightSearchWords: () => {
if (!SPHINX_HIGHLIGHT_ENABLED) return; // bail if no highlight
// get and clear terms from localstorage
const url = new URL(window.location);
const highlight =
localStorage.getItem("sphinx_highlight_terms")
|| url.searchParams.get("highlight")
|| "";
localStorage.removeItem("sphinx_highlight_terms")
url.searchParams.delete("highlight");
window.history.replaceState({}, "", url);
// get individual terms from highlight string
const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
if (terms.length === 0) return; // nothing to do
// There should never be more than one element matching "div.body"
const divBody = document.querySelectorAll("div.body");
const body = divBody.length ? divBody[0] : document.querySelector("body");
window.setTimeout(() => {
terms.forEach((term) => _highlightText(body, term, "highlighted"));
}, 10);
const searchBox = document.getElementById("searchbox");
if (searchBox === null) return;
searchBox.appendChild(
document
.createRange()
.createContextualFragment(
'<p class="highlight-link">' +
'<a href="javascript:SphinxHighlight.hideSearchWords()">' +
_("Hide Search Matches") +
"</a></p>"
)
);
},
/**
* helper function to hide the search marks again
*/
hideSearchWords: () => {
document
.querySelectorAll("#searchbox .highlight-link")
.forEach((el) => el.remove());
document
.querySelectorAll("span.highlighted")
.forEach((el) => el.classList.remove("highlighted"));
localStorage.removeItem("sphinx_highlight_terms")
},
initEscapeListener: () => {
// only install a listener if it is really needed
if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return;
document.addEventListener("keydown", (event) => {
// bail for input elements
if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
// bail with special keys
if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return;
if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) {
SphinxHighlight.hideSearchWords();
event.preventDefault();
}
});
},
};
_ready(() => {
/* Do not call highlightSearchWords() when we are on the search page.
* It will highlight words from the *previous* search query.
*/
if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords();
SphinxHighlight.initEscapeListener();
});

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