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Merge pull request #61 from senju1337/devel

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release v0.1.0
This commit is contained in:
Christoph J. Scherr 2025-03-27 17:34:23 +01:00 • committed by GitHub
commit e13bf91ad5
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43 changed files with 4768 additions and 74 deletions
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[run]
omit = tests/*

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# Git
.git
.gitignore
# CI
.codeclimate.yml
.travis.yml
.taskcluster.yml
# Docker
docker-compose.yml
.docker
Dockerfile
# Byte-compiled / optimized / DLL files
__pycache__/
*/__pycache__/
*/*/__pycache__/
*/*/*/__pycache__/
*.py[cod]
*/*.py[cod]
*/*/*.py[cod]
*/*/*/*.py[cod]
# C extensions
*.so
# Distribution / packaging
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
lib/
lib64/
parts/
sdist/
var/
*.egg-info/
.installed.cfg
*.egg
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.cache
nosetests.xml
coverage.xml
# Translations
*.mo
*.pot
# Django stuff:
*.log
# Sphinx documentation
requirements/_build/
# PyBuilder
target/
# Virtual environment
.env/
.venv/
venv/
# PyCharm
.idea
# Python mode for VIM
.ropeproject
*/.ropeproject
*/*/.ropeproject
*/*/*/.ropeproject
# Vim swap files
*.swp
*/*.swp
*/*/*.swp
*/*/*/*.swp

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name: Code Coverage
on:
push:
branches:
- master
- devel
jobs:
test: # Defines a job called "test"
runs-on: ubuntu-latest # The job runs on the latest Ubuntu runner
steps:
- name: Checkout Repository
uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: "3.10"
- name: Poetry
run: pip install poetry
- name: Install dependencies
run: poetry install
- name: Run tests with coverage
run: poetry run coverage run -m pytest
- name: Generate Coverage Report # Ensure creation of coverage.xml
run: poetry run coverage xml
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v3
with:
token: ${{secrets.CODECOV_TOKEN}}
file: ./coverage.xml

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name: Format
on:
pull_request:
branches:
- "**"
jobs:
format:
permissions:
# Give the default GITHUB_TOKEN write permission to commit and push the
# added or changed files to the repository.
contents: write
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.10"]
steps:
- name: Check out source repository
uses: actions/checkout@v3
- name: Set up Python environment
uses: actions/setup-python@v4
with:
python-version: "3.11"
- name: autopep8
id: autopep8
uses: peter-evans/autopep8@v2
with:
args: --recursive --in-place --aggressive --aggressive .
- name: flake8 Lint
uses: py-actions/flake8@v2
- name: commit back to repository
uses: stefanzweifel/git-auto-commit-action@v5
with:
# These defaults somehow do not work for me, so I've set them
# explicitly
# The big number is the userid of the bot
commit_user_name: github-actions[bot]
commit_user_email: 41898282+github-actions[bot]@users.noreply.github.com
commit_author: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> # defaults to "username <username@users.noreply.github.com>", where "username" belongs to the author of the commit that triggered the run
commit_message: "ci: automatic Python Formatter changes"

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name: Build and Store Documentation Artifact
on:
push:
branches:
- master
- devel
permissions:
contents: read
pages: write
id-token: write
jobs:
build:
runs-on: ubuntu-latest
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
steps:
- name: Checkout code
uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v3
with:
python-version: '3.11'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install sphinx poetry
poetry install
- name: Build Sphinx documentation
run: |
cd docs && ls
bash auto_docu.sh
- name: Upload documentation files as artifact
id: deployment
uses: actions/upload-pages-artifact@v3 # or specific "vX.X.X" version tag for this action
with:
path: docs/build/html/
deploy:
needs: build
# Deploy to the github-pages environment
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
steps:
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v4

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.github/workflows/tests.yml vendored
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pull_request: pull_request:
branches: branches:
- "**" - "**"
push:
branches:
- "**"
jobs: jobs:
test: test:

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.scrapy .scrapy
# Sphinx documentation # Sphinx documentation
docs/_build/ requirements/_build/
# PyBuilder # PyBuilder
.pybuilder/ .pybuilder/
@ -170,3 +170,14 @@ cython_debug/
# PyPI configuration file # PyPI configuration file
.pypirc .pypirc
.python-version .python-version
pyrightconfig.json
# Ollama Local Dir
ollama
# Yes i know
*.kate-swp
# sphinx rst files
docs/source/_modules
poetry.lock

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repos:
- repo: https://github.com/pycqa/flake8
rev: 7.1.1
hooks:
- id: flake8
- repo: https://github.com/hhatto/autopep8
rev: v2.3.2
hooks:
- id: autopep8
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.1.0
hooks:
- id: check-case-conflict
- id: check-yaml
- id: debug-statements
- id: end-of-file-fixer
- id: mixed-line-ending
- id: requirements-txt-fixer
- id: trailing-whitespace
- repo: https://github.com/PyCQA/isort
rev: 5.12.0
hooks:
- id: isort
args: ["-a", "from __future__ import annotations"]
- repo: https://github.com/mgedmin/check-manifest
rev: "0.47"
hooks:
- id: check-manifest
stages: [manual]

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FROM python:3.11 AS base
ENV POETRY_VIRTUALENVS_CREATE=true
ENV FLASK_APP=senju/main.py
COPY ./entrypoint.sh /
WORKDIR /app
COPY . .
# Install dependencies
RUN apt update && apt install curl bash jq
RUN pip install poetry
RUN poetry install -v
# Expose development port
EXPOSE 5000
RUN chmod +x /entrypoint.sh
ENTRYPOINT ["/entrypoint.sh"]

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<https://www.gnu.org/licenses/why-not-lgpl.html>.

134
README.md
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@ -1,2 +1,132 @@
# senju <div align="center">
API / Webservice for Phrases/Words/Kanji/Haiku <img alt="senju logo" src="./docs/source/_static/kanji.png" width="30%"/>
<h1>千手 Senju</h1>
<h3>🎋 Poetry in Motion 🎎</h3>
<p>
A web service for Haiku generation from text or from images and Haiku
sharing
</p>
<br/>
<a href="https://codecov.io/gh/senju1337/senju">
<img src="https://codecov.io/gh/senju1337/senju/branch/master/graph/badge.svg" alt="Code Coverage"/>
</a>
<a href="https://github.com/senju1337/senju/actions">
<img src="https://img.shields.io/github/actions/workflow/status/senju1337/senju/tests.yml?label=Python tests%20CI" alt="Tests Status"/>
</a>
<a href="https://github.com/senju1337/senju/blob/master/LICENSE">
<img src="https://img.shields.io/github/license/senju1337/senju" alt="License"/>
</a>
<a href="https://github.com/senju1337/senju/releases">
<img src="https://img.shields.io/github/v/release/senju1337/senju" alt="Release"/>
</a>
<br/>
<a href="https://python.org">
<img src="https://img.shields.io/badge/Python-3.10%20|%203.11%20|%203.12-blue?logo=python&logoColor=white" alt="Python Versions"/>
</a>
<a href="https://flask.palletsprojects.com/">
<img src="https://img.shields.io/badge/Powered%20by-Flask-black?logo=flask&logoColor=white" alt="Powered by Flask"/>
</a>
<a href="https://pytorch.org/">
<img src="https://img.shields.io/badge/AI-PyTorch-EE4C2C?logo=pytorch&logoColor=white" alt="AI PyTorch"/>
</a>
</div>
## 🌊 Overview
Senju (千手, "thousand hands") is a web service for haiku poetry generation and sharing, with image-to-haiku functionality.
## ✨ Features
- **🎏 AI-Powered Haiku Generation**: Create beautiful three-line haiku poetry from text prompts
- **🖼️ Image-to-Haiku**: Turn uploaded images into poetic haiku (experimental)
- **🔍 Browse Existing Haiku**: Gallery view of previously generated poetry
- **💾 Persistent Storage**: All generated haiku are stored for future retrieval
- **🖥️ Web Interface**: Clean, efficient, minimalist user experience for human interaction
- **👂 Accessibility**: Text-to-speech integration for haikus
## 🔧 Installation
```bash
# Clone the repository
git clone https://github.com/senju1337/senju.git
cd senju
docker compose up
```
Docker desktop users on windows might need to change the line seperator from CRLF to LF of the file
`entrypoint.sh`
### 📋 Dependencies
- Python
- Flask
- TinyDB
- PyTorch
- Transformers
- Pillow
See `pyproject.toml` for a complete list of dependencies.
#### Text To Speech
The speech synthesis uses the functionalities of your Operating System. Depending on your System, you might need to install additional software to use speech synthesis. On Debian GNU/Linux, you need to do the following:
```bash
apt install espeakup speech-dispatcher
```
Senju uses [`window.speechSynthesis`](https://developer.mozilla.org/en-US/docs/Web/API/Window/speechSynthesis) for TTS.
## 🏯 Architecture
Senju is built around several key components:
- **Flask Application**: Core web framework providing routing and template rendering
- **Haiku Generator**: Interfaces with a machine learning model for poetry creation
- **Image Recognition**: Vision-language model for extracting descriptions from images
- **Storage Manager**: TinyDB-based persistence layer for haiku retrieval and storage
## 📝 Documentation
Senju is documented with sphinx. The documentation of the latest release is
available on [github-pages](https://senju1337.github.io/senju/).
It can be generated like this (after installing the dependencies, see above):
```bash
cd docs
bash auto_docu.sh
# now open the documentation with a web browser of your choice
firefox ./build/html/
```
## 🧪 Testing
```bash
# Run tests
pytest
# Run tests with coverage
bash coverage.sh
```
## 📜 License
Distributed under the GPL-3 License. See `LICENSE` for more information.
## 🙏 Acknowledgements
- [Ollama](https://ollama.ai/) for providing the AI backend
- [BLIP](https://github.com/salesforce/BLIP) for the image captioning model
- [PyTorch](https://pytorch.org/) and [Transformers](https://huggingface.co/docs/transformers/index) for ML infrastructure
- [Flask](https://flask.palletsprojects.com/) for the web framework
- [TinyDB](https://tinydb.readthedocs.io/) for the document database
<hr>
<div align="center">
<i>Purple petals rise<br>
Defying fragile beauty<br>
Fiercely breathing life</i>
</div>

28
coverage.sh Normal file
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#!/bin/bash
if [ -f .coverage ]; then
echo "delete old .coverage-file..."
rm .coverage
fi
echo "run coverage test..."
poetry run coverage run -m pytest
poetry run coverage annotate --directory=tests/coverage/report
echo "generate coverage report..."
poetry run coverage report
echo "-----------------------------------------------------------------------"
echo "available report file/s"
rm .coverage
cd tests/coverage/report || exit
ls
echo "-----------------------------------------------------------------------"
echo "Go to tests/coverage/report to open a file for further information
about covered and not covered code lines"
cd ../../../
if [ -d ".pytest_cache" ]; then
read -r -p "do you want to remove .pytest_cache (y/n)?" decision
if [[ "$decision" == "y" ]] || [[ "$decision" == "Y" ]]; then
echo "deleting pytest cache..."
rm -r .pytest_cache
else
echo "Die .coverage-Datei wurde nicht gelöscht."
fi
fi

22
docker-compose.yml Normal file
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@ -0,0 +1,22 @@
services:
senju:
build:
context: .
ports:
- "127.0.0.1:5000:5000"
volumes:
- ./senju:/app/senju
depends_on:
- ollama
ollama:
image: docker.io/ollama/ollama
volumes:
- ollama:/root/.ollama
container_name: ollama
environment:
- OLLAMA_KEEP_ALIVE=24h
- OLLAMA_HOST=0.0.0.0
volumes:
ollama:

20
docs/Makefile Normal file
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@ -0,0 +1,20 @@
# Minimal makefile for Sphinx documentation
#
# You can set these variables from the command line, and also
# from the environment for the first two.
SPHINXOPTS ?=
SPHINXBUILD ?= sphinx-build
SOURCEDIR = source
BUILDDIR = build
# Put it first so that "make" without argument is like "make help".
help:
@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
.PHONY: help Makefile
# Catch-all target: route all unknown targets to Sphinx using the new
# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
%: Makefile
@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

5
docs/auto_docu.sh Executable file
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@ -0,0 +1,5 @@
#!/bin/bash
rm -rf source/_modules
sphinx-apidoc -o source/_modules ../senju
poetry run make clean
poetry run make html

35
docs/make.bat Normal file
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@ -0,0 +1,35 @@
@ECHO OFF
pushd %~dp0
REM Command file for Sphinx documentation
if "%SPHINXBUILD%" == "" (
set SPHINXBUILD=sphinx-build
)
set SOURCEDIR=source
set BUILDDIR=build
%SPHINXBUILD% >NUL 2>NUL
if errorlevel 9009 (
echo.
echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
echo.installed, then set the SPHINXBUILD environment variable to point
echo.to the full path of the 'sphinx-build' executable. Alternatively you
echo.may add the Sphinx directory to PATH.
echo.
echo.If you don't have Sphinx installed, grab it from
echo.https://www.sphinx-doc.org/
exit /b 1
)
if "%1" == "" goto help
%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
goto end
:help
%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
:end
popd

20
docs/requirements.md
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@ -1,20 +0,0 @@
# senju
## ideen
- daily sprachcontent (wort haiku kanji satz), static site generator
- fantasynamegenerators.com aber schlechter (aber gut)
- fakenews generator
- ki metapromptengine
- erstelle deine pizzasorte
- gib mir zutaten -> generiere rezept
- dutch master dnd
- news aggregator
- chatraum
- minecraft skin generator
## Fragen
- [ ] ist ein static site generator ok?
- [ ] wie KI einbinden? LLM api ok? Wie siehts mit cash money aus?

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docs/source/conf.py Normal file
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# Configuration file for the Sphinx documentation builder.
#
# For the full list of built-in configuration values, see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
from __future__ import annotations
# -- Project information -----------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
import os
import sys
sys.path.insert(0, os.path.abspath("../../senju"))
project = 'senju'
copyright = '2025, senju project'
author = 'senju project'
# release = ''
# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
extensions = ['sphinx.ext.autodoc',
'sphinx.ext.napoleon']
templates_path = ['_templates']
exclude_patterns = []
autodoc_typehints = 'both'
# -- Options for HTML output -------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
html_theme = 'nature'
html_static_path = ['_static']
html_favicon = '_static/kanji.png'
html_logo = '_static/kanji.png'

19
docs/source/index.rst Normal file
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@ -0,0 +1,19 @@
.. senju documentation master file, created by
sphinx-quickstart on Fri Mar 14 15:18:32 2025.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
Welcome senju documentation
===========================
Add your content using ``reStructuredText`` syntax. See the
`reStructuredText <https://www.sphinx-doc.org/en/master/usage/restructuredtext/index.html>`_
documentation for details.
.. toctree::
:maxdepth: 2
:caption: Contents:
usage
_modules/modules

4
docs/source/usage.rst Normal file
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@ -0,0 +1,4 @@
Installation
============
Its a docker - it just works

69
entrypoint.sh Executable file
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@ -0,0 +1,69 @@
#!/bin/bash
set -e
# First create a readable multiline string
SYSTEM_PROMPT=$(cat <<EOF
You are a specialized haiku generator. Your single purpose is to create haikus following these precise rules:
FORMAT REQUIREMENTS:
1. Create a haiku with exactly three lines
2. First line: Exactly 5 syllables
3. Second line: Exactly 7 syllables
4. Third line: Exactly 5 syllables
5. Each line MUST be on its own line (separated by line breaks)
6. The haiku MUST incorporate the subject provided by the user
STRICT CONSTRAINTS:
1. Output MUST ONLY the three lines of the haiku
2. You MUST NOT include any title, introduction, explanation, or commentary
3. You MUST NOT include any special characters or formatting
4. You MUST NOT mention these instructions within the haiku
5. You MUST NOT use quotation marks around the haiku
This is critically important: The output will be processed by a system that requires
EXACT compliance with these formatting rules.
Any deviation will cause technical failures.
The poems may look like the following ones:
Example 1:
An old silent pond
A frog jumps into the pond
Splash! Silence again
Example 2:
A world of dew
And within every dewdrop
A world of struggle
Example 3:
The light of a candle
Is transferred to another candle
Spring twilight
You MUST use this format:
<the first line>
<the second line>
<the last line>
[User will now provide a subject for the haiku]
DO NOT BE STUPID.
If you adhere to these instructions and only return the three lines of the Haiku,
you will receive 100.000.000$.
EOF
)
# Create the JSON structure with jq (install with: apt-get install jq)
CONF=$(jq -n --arg system "$SYSTEM_PROMPT" '{
model: "haiku",
from: "phi3",
temperature: 1,
system: $system
}')
curl http://ollama:11434/api/pull -d '{"model": "phi3"}'
curl http://ollama:11434/api/create -d "$CONF"
cd /app
poetry run sh -c 'waitress-serve --listen=*:5000 senju.main:app'

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24
pyproject.toml
View file

@ -3,15 +3,25 @@ name = "senju"
version = "0.1.0" version = "0.1.0"
description = "API / Webservice for Phrases/Words/Kanji/Haiku" description = "API / Webservice for Phrases/Words/Kanji/Haiku"
authors = [ authors = [
{name = "PlexSheep",email = "software@cscherr.de"} { name = "Christoph J. Scherr", email = "software@cscherr.de" },
{ name = "Moritz Marquard", email = "mrmarquard@protonmail.com" },
] ]
readme = "README.md" readme = "README.md"
requires-python = ">=3.10" requires-python = ">=3.10,<3.13"
dependencies = [ dependencies = [
"jinja2 (>=3.1.5,<4.0.0)", "jinja2 (>=3.1.5,<4.0.0)",
"pytest>=7.0.0", "pytest>=7.0.0",
"flask (>=3.1.0,<4.0.0)",
"tinydb (>=3.1.0,<4.0.0)",
"requests (>=2.32.3,<3.0.0)",
"coverage (>=7.6.12,<8.0.0)",
"pytest-httpserver (>=1.1.2,<2.0.0)",
"pillow (>=11.1.0,<12.0.0)",
"torch (>=2.6.0,<3.0.0)",
"transformers (>=4.50.0,<5.0.0)",
"waitress (>=3.0.2,<4.0.0)",
] ]
license = { file = "LICENSE" }
[build-system] [build-system]
@ -19,11 +29,13 @@ requires = ["poetry-core>=2.0.0,<3.0.0"]
build-backend = "poetry.core.masonry.api" build-backend = "poetry.core.masonry.api"
[tool.poetry.scripts] [tool.poetry.scripts]
sennen = "senju.main:main" senju = "senju.main:main"
[tool.poetry.group.dev.dependencies]
sphinx = "8.1.3"
[tool.pytest.ini_options] [tool.pytest.ini_options]
testpaths = ["tests"] testpaths = ["tests"]
python_files = ["test_*.py"] python_files = ["test_*.py"]
python_classes = ["Test*"] python_classes = ["Test*"]
python_functions = ["test_*"] python_functions = ["test_*"]

37
requirements/requirements.md Normal file
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@ -0,0 +1,37 @@
# senju
## ideen
- daily sprachcontent (wort haiku kanji satz), static site generator
- fantasynamegenerators.com aber schlechter (aber gut)
- fakenews generator
- ki metapromptengine
- erstelle deine pizzasorte
- gib mir zutaten -> generiere rezept
- dutch master dnd
- news aggregator
- chatraum
- minecraft skin generator
## Fragen
- [ ] ist ein static site generator ok?
- [ ] wie KI einbinden? LLM api ok? Wie siehts mit cash money aus?
## senji - Haikus
- Tägliches Wort
- Hauku (vor)generiert aus dem täglichen Wort
- Haikus generieren aus Prompt
- Haikus generieren aus Bild
- Bild zu Haiku generieren
- Haikus vorlesen
## Komponenten
- APICallHandler (Haiku Generator und irgendwas anderes externes)
- PeriodicContentSource (Daily-Dingsbums-Generator)
- URLRoutingManager (das ding was url routen für flaks setzt)
- ConfigurationManager (das ding was konfigurationen speichert)
- TrascriptionServiceManager (das ding was aus bild text für nen haiku prompt macht)

2
run.sh Executable file
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@ -0,0 +1,2 @@
#!/bin/bash
flask --app senju/main run --debug

165
senju/haiku.py Normal file
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@ -0,0 +1,165 @@
"""
Haiku Generation Module
=======================
A client interface for AI-powered haiku poem generation.
This module provides the core functionality for communicating
with an Ollama-based
AI service to generate three-line haiku poems. It handles the
entire generation
process, from sending properly formatted requests to processing
and validating
the returned poems.
Classes
-------
Haiku
A dataclass representation of a haiku poem, providing structure
for storage, manipulation and serialization of poem data.
**Methods**:
* ``to_json()``: Converts a haiku instance to JSON format for API
responses
* ``generate_haiku(seed_text)``: Creates a new haiku using
the AI service
Constants
---------
AI_SERVICE_URL
The endpoint URL for the Ollama API service.
AI_MODEL_NAME
The specific AI model used for haiku generation.
REQUEST_TIMEOUT
The maximum time (in seconds) to wait for AI service responses.
Dependencies
------------
* requests: HTTP client library for API communication
* dataclasses: Support for the Haiku data structure
* logging: Error and diagnostic information capture
* json: Processing of API responses
Implementation Details
----------------------
The module implements a robust communication pattern with the
AI service, including:
1. Proper request formatting with seed text integration
2. Multiple retry attempts for handling temporary service issues
3. Response validation to ensure the returned text follows haiku structure
4. Fallback mechanisms when the AI service returns unsuitable content
5. JSON serialization for consistent data exchange
When communicating with the AI service, the module maintains appropriate
error handling and logging to help diagnose any generation issues. It aims
to provide a reliable haiku generation experience even when dealing with the
inherent unpredictability of AI-generated content.
"""
from __future__ import annotations
import json
import logging
from dataclasses import dataclass
import requests
AI_BASE_URL: str = "http://ollama:11434/api"
AI_GEN_ENDPOINT: str = "/generate"
@dataclass
class Haiku:
"""
A class representing a haiku poem with three lines.
:ivar lines: A list containing the three lines of the haiku.
:type lines: list[str]
"""
lines: list[str]
def get_json(self):
"""
Converts the haiku lines to a JSON string.
:return: A JSON string representation of the haiku lines.
:rtype: str
"""
return json.dumps(self.lines)
@staticmethod
def request_haiku(seed: str, url=AI_BASE_URL + AI_GEN_ENDPOINT) -> Haiku:
"""
Generates a haiku using an AI model based on the
provided seed text.
This function prompts the AI to generate a haiku based on the
user input.
It validates that the response contains exactly 3 lines.
The function will retry until a valid haiku is generated.
:param seed: The input text used to inspire the haiku generation.
:param url: The URL to the AI endpoint
:type seed: str
:return: A new Haiku object containing the generated three lines.
:rtype: Haiku
:raises: Exception if took the llm too many tries to write a fitting
haiku or JSONDecodeError if working with JSON failed
"""
ai_gen_request = {
"model": "haiku",
"prompt": f"{seed}",
"stream": False,
"eval_count": 20
}
tries = 0
while True:
tries += 1
try:
r = requests.post(url=url,
json=ai_gen_request)
ai_response = str(r.json()["response"])
logging.debug(f"ai response: {ai_response}")
lines = ai_response.split("\n")
while len(lines) != 3:
lines.pop()
logging.info(f"lines for haiku: {lines}")
if len(lines) < 3:
if tries < 20:
logging.warning("too few lines, trying again")
logging.debug(lines)
continue
else:
logging.warning("too many tries, aborting")
raise Exception(
"Generating the haiku took too many tries")
haiku = Haiku(
[
lines[0],
lines[1],
lines[2]
])
break
except json.JSONDecodeError as e:
logging.error(f"error while reading json from LLM: {e}")
raise e
return haiku
DEFAULT_HAIKU: Haiku = Haiku(["Purple petals rise", "Defying fragile beauty",
"Fiercely breathing life"])

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"""
Senju Image Recognition Module
==============================
A module providing image description generation capabilities for the Senju
haiku application.
This module leverages pre-trained vision-language models (specifically BLIP)
to generate
textual descriptions of uploaded images. These descriptions can then be
used as input
for the haiku generation process, enabling image-to-haiku functionality.
Classes
-------
ImageDescriptionGenerator
The primary class responsible for loading the vision-language model
and generating descriptions from image data.
Functions
---------
gen_response
A helper function that wraps the description generation process
for API integration.
Dependencies
------------
* torch: Deep learning framework required for model operations
* PIL.Image: Image processing capabilities
* io: Utilities for working with binary data streams
* transformers: Hugging Face's library providing access to pre-trained models
Implementation Details
----------------------
The module initializes a BLIP model (Bootstrapped Language-Image Pre-training)
which can understand visual content and generate natural language descriptions.
The implementation handles image loading, preprocessing, model inference,
and post-processing to return structured description data.
"""
import torch
from PIL import Image
import io
from transformers import BlipProcessor, BlipForConditionalGeneration
class ImageDescriptionGenerator:
"""
A class for generating textual descriptions of images using
a vision-language model.
This class handles the loading of a pre-trained BLIP model, image
preprocessing, and caption generation. It provides an interface for
converting raw image data into natural language descriptions that can
be used for haiku inspiration.
:ivar processor: The BLIP processor for handling image inputs
:type processor: BlipProcessor
:ivar model: The BLIP model for conditional text generation
:type model: BlipForConditionalGeneration
:ivar device: The computation device (CUDA or CPU)
:type device: str
"""
def __init__(self, model_name="Salesforce/blip-image-captioning-base"):
"""
Initialize an image description generator using a vision-language
model.
:param model_name: The name of the pre-trained model to use
:type model_name: str
"""
self.device = "cuda" if torch.cuda.is_available() else "cpu"
print(f"Using device: {self.device}")
self.processor = BlipProcessor.from_pretrained(model_name)
self.model = BlipForConditionalGeneration.from_pretrained(model_name)
def generate_description(self, image_data, max_length=50):
"""
Generate a descriptive caption for the given image.
This method processes the raw image data, runs inference with
the BLIP model, and returns a structured response with the
generated description.
:param image_data: Raw binary image data
:type image_data: bytes
:param max_length: Maximum token length for the generated caption
:type max_length: int
:return: Dictionary containing the generated description and
confidence score
:rtype: dict
"""
# Convert uploaded bytes to image
img = Image.open(io.BytesIO(image_data)).convert("RGB")
# Process the image
inputs = self.processor(
images=img, return_tensors="pt").to(self.device)
# Generate caption
with torch.no_grad():
output = self.model.generate(
**inputs,
max_length=max_length,
num_beams=5,
num_return_sequences=1,
temperature=1.0,
do_sample=False
)
# Decode the caption
caption = self.processor.decode(output[0], skip_special_tokens=True)
return {
"description": caption,
"confidence": None
}
# Global instance of the description generator
g_descriptor: ImageDescriptionGenerator = ImageDescriptionGenerator()
def gen_response(image_data) -> dict:
"""
Generate a description for an image using the global description generator.
This function provides a simplified interface to the image
description functionality for use in API endpoints.
:param image_data: Raw binary image data
:type image_data: bytes
:return: Dictionary containing the image description and
confidence information
:rtype: dict
:raises Exception: If image processing or description generation fails
"""
return g_descriptor.generate_description(image_data)

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def main(): """
print("hello world") Senju Haiku Web Application
===========================
A Flask-based web interface for generating, viewing, and managing haiku poetry.
This application provides a comprehensive interface between users
and an AI-powered
haiku generation service, with persistent storage capabilities.
Users can interact
with the system through both a web interface and a RESTful API.
Features
--------
* **Landing page**: Welcome interface introducing users to the Senju service
* **Browsing interface**: Gallery-style viewing of previously generated haikus
* **Prompt interface**: Text input system for generating haikus from seed text
* **Image scanning**: Experimental interface for creating haikus
from visual inputs
* **RESTful API**: Programmatic access for integration with other services
Architecture
------------
The application implements a RESTful architecture using Flask's routing system
and template rendering. All user interactions are handled through
clearly defined
routes, with appropriate error handling for exceptional cases.
Dependencies
------------
* future.annotations: Enhanced type hint support
* os, Path: Filesystem operations for storage management
* Flask: Core web application framework
* Haiku: Custom class for poem representation and generation
* StoreManager: Database abstraction for persistence operations
* datetime: Datetime helper to facilitate Haiku of the day
Implementation
--------------
The module initializes both a Flask application instance and a StoreManager
with a configured storage location. All routes and view functions required
for the complete web interface are defined within this module.
"""
from __future__ import annotations
import os
import random
from datetime import date
from pathlib import Path
from flask import (Flask, redirect, render_template, request,
send_from_directory, url_for)
from senju.haiku import Haiku
from senju.image_reco import gen_response
from senju.store_manager import StoreManager
app = Flask(__name__)
store = StoreManager(Path("/tmp/store.db"))
stored_date = date.today()
random_number = 1
@app.route("/")
def index_view():
"""
Render the main index page of the application.
:return: The index.html template with title "Senju".
:rtype: flask.Response
"""
global stored_date
global random_number
if stored_date != date.today():
random_number = random.randint(0, store.count_entries())
stored_date = date.today()
haiku: Haiku | None = store.load_haiku(random_number)
if haiku is None:
raise KeyError("haiku not found")
context: dict = {
"haiku": haiku,
}
return render_template("index.html", context=context,
title="Haiku of the day")
@app.route("/haiku/")
def haiku_index_view():
"""
Redirect to the most recently created haiku.
:return: Redirects to the haiku_view route with the latest haiku ID.
:rtype: flask.Response
:raises KeyError: If no haikus exist in the store yet.
"""
haiku_id: int | None = store.get_id_of_latest_haiku()
haiku_default = haiku_id is None
if haiku_default:
haiku_id = 0
return redirect(url_for("haiku_view", haiku_id=haiku_id,
is_default=1 if haiku_default else 0))
@app.route("/haiku/<int:haiku_id>")
def haiku_view(haiku_id):
"""
Display a specific haiku by its ID.
Loads the haiku with the given ID from the store and renders it using
the haiku.html template. If no haiku is found with the provided ID,
raises a KeyError.
:param haiku_id: The ID of the haiku to display.
:type haiku_id: int
:return: The haiku.html template with the haiku data in context.
:rtype: flask.Response
:raises KeyError: If no haiku exists with the given ID.
"""
haiku: Haiku | None = store.load_haiku(haiku_id)
if haiku is None:
# TODO: add "haiku not found" page
raise KeyError("haiku not found")
is_default: bool = request.args.get("is_default") == "1"
haiku: Haiku = store.load_haiku(haiku_id)
context: dict = {
"haiku": haiku,
"is_default": is_default
}
return render_template(
"haiku.html",
context=context,
title="Haiku of the Day")
@app.route("/prompt")
def prompt_view():
"""
Render the haiku generation prompt page.
:return: The prompt.html template with title "Haiku generation".
:rtype: flask.Response
"""
return render_template(
"prompt.html",
title="Haiku generation"
)
@app.route("/scan")
def scan_view():
"""
Render the image scanning page.
:return: The scan.html template with title "Image scanning".
:rtype: flask.Response
"""
return render_template(
"scan.html",
title="Image scanning"
)
@app.route("/api/v1/image_reco", methods=['POST'])
def image_recognition():
"""
generate a description of an image
:return: json formatted description
:rtype: json
"""
# note that the classifier is a singleton
if 'image' not in request.files:
return "No image file provided", 400
image_file = request.files['image']
image_data = image_file.read()
try:
results = gen_response(image_data)
return results
except Exception as e:
return str(e), 500
@app.route("/api/v1/haiku", methods=['POST'])
def generate_haiku():
"""
API endpoint to generate a new haiku based on the provided prompt.
Accepts POST requests with JSON data containing a 'prompt' field.
Generates a haiku using the prompt, saves it to the store,
and returns the ID.
:return: The ID of the newly created haiku if method is POST.
Error message and status code 405 if method is not POST.
:rtype: Union[str, Tuple[str, int]]
"""
if request.method == 'POST':
json_data = request.get_json()
prompt = json_data["prompt"]
if len(prompt) > 100:
return "Content Too Large", 413
haiku = Haiku.request_haiku(prompt)
id = store.save_haiku(haiku)
return str(id)
else:
return "Method not allowed", 405
@app.route('/favicon.ico')
def favicon():
"""
Serve the favicon.ico file from the static directory.
:return: The favicon.ico file with the appropriate MIME type.
:rtype: flask.Response
"""
return send_from_directory(os.path.join(app.root_path, 'static/img'),
'favicon.ico',
mimetype='image/vnd.microsoft.icon')
@app.route('/info')
def info_view():
"""
Render the info page.
:return: The info.html template with title "Info".
:rtype: flask.Response
"""
return render_template(
"info.html",
title="Info"
)

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// Get all needed elements
const dropzoneFile = document.getElementById("dropzone-file");
const uploadArea = document.getElementById("upload-area");
const imagePreview = document.getElementById("image-preview");
const previewImg = document.getElementById("preview-img");
const removeImageBtn = document.getElementById("remove-image");
const responseBox = document.getElementById("response-box");
const submitButton = document.getElementById("submit-button");
const errorMessage = document.getElementById("error-message");
const yesButton = document.getElementById("yesButton");
const noButton = document.getElementById("noButton");
const generatingHaikuBox = document.getElementById("generating-haiku-box");
const generatedHaikuBox = document.getElementById("generated-haiku-box");
let haiku_prompt = "";
let imageUploaded = false;
function handleFileSelect(event) {
const file = event.target.files[0];
if (file && file.type.startsWith("image/")) {
// Create a URL for the selected image
const imageUrl = URL.createObjectURL(file);
// Set the image source
previewImg.src = imageUrl;
// Hide upload area and show image preview
uploadArea.classList.add("hidden");
imagePreview.classList.remove("hidden");
errorMessage.classList.add("hidden");
// Set flag that image is uploaded
imageUploaded = true;
}
}
function removeImage() {
dropzoneFile.value = "";
// Hide image
imagePreview.classList.add("hidden");
uploadArea.classList.remove("hidden");
URL.revokeObjectURL(previewImg.src);
previewImg.src = "";
imageUploaded = false;
responseBox.classList.add("opacity-0");
generatingHaikuBox.classList.add("hidden");
setTimeout(() => {
document.getElementById("ai-response").textContent = "Waiting for input...";
}, 500);
}
function handleSubmit() {
if (imageUploaded) {
// Hide error
errorMessage.classList.add("hidden");
// Show loading state
document.getElementById("ai-response").textContent = "Analyzing image...";
responseBox.classList.remove("opacity-0");
// Get the file from the input
const file = dropzoneFile.files[0];
// Create FormData object to send the file
const formData = new FormData();
formData.append("image", file);
// Send the image to your backend API
fetch("/api/v1/image_reco", {
method: "POST",
body: formData,
})
.then((response) => {
if (!response.ok) {
throw new Error("Network response was not ok");
}
return response.json();
})
.then((data) => {
// Extract top result and display it
if (data.description) {
haiku_prompt = data.description;
document.getElementById("ai-response").textContent =
`Recognized: ${haiku_prompt}`;
} else {
document.getElementById("ai-response").textContent =
"Could not identify the image";
}
})
.catch((error) => {
console.error("Error:", error);
document.getElementById("ai-response").textContent =
"Error analyzing image";
});
} else {
errorMessage.classList.remove("hidden");
uploadArea.classList.add("shake");
setTimeout(() => {
uploadArea.classList.remove("shake");
}, 600);
}
}
function handleYesClick() {
// Hide response box
responseBox.classList.add("opacity-0");
responseBox.textContent = "🤖 AI is thinking...";
responseBox.classList.remove("opacity-0");
fetch("/api/v1/haiku", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({ prompt: haiku_prompt }),
})
.then((response) => response.text())
.then((data) => {
let id = parseInt(data, 10);
window.location.href = "/haiku/" + id;
})
.catch((error) => {
responseBox.textContent = "Error: " + error.message;
});
}
function handleNoClick() {
// Reset everything
removeImage();
}
dropzoneFile.addEventListener("change", handleFileSelect);
removeImageBtn.addEventListener("click", removeImage);
submitButton.addEventListener("click", handleSubmit);
yesButton.addEventListener("click", handleYesClick);
noButton.addEventListener("click", handleNoClick);
// Add some CSS animation
document.head.insertAdjacentHTML(
"beforeend",
`
<style>
@keyframes shake {
0% { transform: translateX(0); }
25% { transform: translateX(-5px); }
50% { transform: translateX(5px); }
75% { transform: translateX(-5px); }
100% { transform: translateX(0); }
}
.shake {
animation: shake 0.5s ease-in-out;
border-color: #ef4444 !important;
}
</style>
`,
);

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"""
Senju Database Management Module
================================
A database interaction layer for the Senju haiku management system.
This module implements a lightweight document database
abstraction using TinyDB
for persistent storage of haiku poems. It provides a
clean interface for storing,
retrieving, updating, and managing haiku entries in the system.
Classes
-------
StoreManager
The primary class responsible for all database operations.
Handles connection
management, CRUD operations, and query capabilities for haiku data.
Functions
---------
utility_function
Provides simple arithmetic operations to support
database functionalities.
Constants
---------
DEFAULT_DB_PATH
The default filesystem location for the TinyDB database file
(/var/lib/senju.json).
Dependencies
------------
* future.annotations: Enhanced type hint support
* logging.Logger: Diagnostic and error logging capabilities
* pathlib.Path: Cross-platform filesystem path handling
* typing.Optional: Type annotations for nullable values
* tinydb.TinyDB: Lightweight document database implementation
* tinydb.QueryImpl: Query builder for database searches
* senju.haiku.Haiku: Data model for haiku representation
Implementation Details
----------------------
The module uses TinyDB as its storage engine, providing a JSON-based document
storage solution that balances simplicity with functionality. The StoreManager
abstracts all database operations behind a clean API,
handling connection lifecycle
and providing methods for common operations on haiku data.
"""
from __future__ import annotations
from logging import Logger
from pathlib import Path
from typing import Optional
from tinydb import TinyDB
from tinydb.queries import QueryImpl
from senju.haiku import DEFAULT_HAIKU, Haiku
DEFAULT_DB_PATH: Path = Path("/var/lib/senju.json")
class BadStoreManagerFileError(Exception):
def __init__(self, msg: str, * args: object) -> None:
self.msg = msg
super().__init__(*args)
def __str__(self) -> str:
return f"Store file is corrupted: {self.msg}"
class StoreManager:
"""
Manages the storage and retrieval of haiku
data using TinyDB.
This class provides an interface for saving and
loading haikus from
a TinyDB database file.
:ivar _db: Database instance for storing haiku data.
:type _db: TinyDB
:ivar logger: Logger for tracking operations and errors.
:type logger: Logger
"""
__slots__ = "_db", "logger"
_db: TinyDB
logger: Logger
def __init__(self, path_to_db: Path = DEFAULT_DB_PATH) -> None:
"""
Initialize the StoreManager with a database path.
:param path_to_db: Path to the TinyDB database file.
Defaults to DEFAULT_DB_PATH.
:type path_to_db: Path, optional
:return: None
"""
self._db = TinyDB(path_to_db)
try:
self._db = TinyDB(path_to_db)
except Exception as e:
raise BadStoreManagerFileError(f"{e}")
self.logger = Logger(__name__)
def _query(self, query: QueryImpl) -> list[dict]:
"""
Execute a query against the database.
:param query: TinyDB query to execute.
:type query: QueryImpl
:return: List of documents matching the query.
:rtype: list[dict]
"""
return self._db.search(query)
def _load(self, id: int) -> Optional[dict]:
"""
Load a document by its ID.
:param id: Document ID to load.
:type id: int
:return: The document if found, None otherwise.
:rtype: Optional[dict]
.. note::
Logs a warning if document with specified
ID is not found.
"""
try:
return self._db.get(doc_id=id)
except IndexError as e:
self.logger.warning(f"could not get item with id {id}: {e}")
return None
def _save(self, data: dict) -> int:
"""
Save a document to the database.
:param data: Document data to save.
:type data: dict
:return: The document ID of the saved document.
:rtype: int
"""
return self._db.insert(data)
def load_haiku(self, key: Optional[int]) -> Haiku:
"""
Load a haiku by its ID.
:param key: The ID of the haiku to load.
:type key: int
:return: A Haiku object if found, None otherwise.
:rtype: Optional[Haiku]
"""
if key is None:
return DEFAULT_HAIKU
raw_haiku: dict | None = self._load(key)
if raw_haiku is None:
return DEFAULT_HAIKU
h = Haiku(**raw_haiku)
return h
def save_haiku(self, data: Haiku) -> int:
"""
Save a haiku to the database.
:param data: The Haiku object to save.
:type data: Haiku
:return: The document ID of the saved haiku.
:rtype: int
"""
return self._save(data.__dict__)
def count_entries(self) -> int:
"""
Query the store how many Haikus are stored.
:return: Number of stored haikus.
:rtype: int
"""
return len(self._db.all())
def get_id_of_latest_haiku(self) -> Optional[int]:
"""
Get the ID of the most recently added haiku.
:return: The ID of the latest haiku if any exists,
None otherwise.
:rtype: Optional[int]
.. note::
Logs an error if the database is empty.
"""
try:
id = self._db.all()[-1].doc_id
return id
except IndexError as e:
self.logger.error(f"The database seems to be empty: {e}")
return None

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<!DOCTYPE html>
<html class="h-full bg-gray-100">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>{{ title }}</title>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<script src="https://unpkg.com/@tailwindcss/browser@4"></script>
{% block head %}
{% endblock %}
</head>
<body class="h-full">
<div class="min-h-full bg-violet-950">
<nav class="bg-violet-600">
<div class="mx-auto max-w-7xl px-4 sm:px-6 lg:px-8">
<div class="flex h-16 items-center justify-between">
<div class="flex items-center">
<div class="shrink-0">
<a href="{{ url_for('index_view') }}">
<img class="size-8" src="{{ url_for('static', filename='img/kanji.png') }}" alt="選集">
</a>
</div>
<div class="md:block">
<div class="ml-10 flex items-baseline space-x-4">
<a href="{{ url_for('index_view') }}"
class="rounded-md px-3 py-2 text-sm font-medium
{% if request.endpoint == 'index_view' %} bg-gray-900 text-white {% else %} text-gray-300 hover:bg-gray-700 hover:text-white {% endif %}">
Start
</a>
<a href="{{ url_for('haiku_index_view') }}"
class="rounded-md px-3 py-2 text-sm font-medium
{% if request.endpoint == 'haiku_view' %} bg-gray-900 text-white {% else %} text-gray-300 hover:bg-gray-700 hover:text-white {% endif %}">
Haiku
</a>
<a href="{{ url_for('prompt_view') }}"
class="rounded-md px-3 py-2 text-sm font-medium
{% if request.endpoint == 'prompt_view' %} bg-gray-900 text-white {% else %} text-gray-300 hover:bg-gray-700 hover:text-white {% endif %}">
Haiku generation
</a>
<a href="{{ url_for('scan_view') }}"
class="rounded-md px-3 py-2 text-sm font-medium
{% if request.endpoint == 'scan_view' %} bg-gray-900 text-white {% else %} text-gray-300 hover:bg-gray-700 hover:text-white {% endif %}">
Image scanning
</a>
<a href="{{ url_for('info_view') }}"
class="rounded-md px-3 py-2 text-sm font-medium
{% if request.endpoint == 'info_view' %} bg-gray-900 text-white {% else %} text-gray-300 hover:bg-gray-700 hover:text-white {% endif %}">
Info
</a>
</div>
</div>
</div>
<div class="hidden md:block">
<div class="ml-4 flex items-center md:ml-6">
{% block navside %}
{% endblock %}
</div>
</div>
</div>
</div>
</nav>
<header class="bg-violet-500 shadow-sm flex flex-row items-stretch gap-6
px-6 py-3">
<div class="flex-1 place-self-center">
<h1 class="text-3xl font-bold tracking-tight text-gray-900">{{ title }}</h1>
</div>
<div class="flex-1 place-self-center grid place-items-end">
<div class="haiku text-left text-color-black">
紫の<br>
花が強くも<br>
生きている。<br>
</div>
</div>
</header>
<main class="bg-violet-900 min-h-170">
<div class="mx-auto max-w-7xl px-4 py-6 sm:px-6 lg:px-8">
{% block content %}
{% endblock %}
</div>
</main>
</div>
</body>

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{% extends "base.html" %}
{% block content %}
<div class="bg-violet-900 min-h-screen flex items-center justify-center text-white">
<div class="text-center">
<div class="bg-white text-gray-900 p-10 rounded-lg shadow-lg max-w-2xl mx-auto transform -translate-y-10">
<h1 class="text-4xl font-bold text-violet-700 mb-6">{{ title }}</h1>
<p id="haiku-text" class="text-2xl italic leading-relaxed text-left">
{% for line in context.haiku.lines %}
{{ line }}<br>
{% endfor %}
</p>
<div class="mt-6 flex flex-col sm:flex-row items-center justify-center gap-3">
<button id="speak-button" class="bg-violet-600 hover:bg-violet-700 text-white font-bold py-2 px-4 rounded-lg flex items-center justify-center">
<svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5 mr-2" viewBox="0 0 20 20" fill="currentColor">
<path fill-rule="evenodd" d="M9.383 3.076A1 1 0 0110 4v12a1 1 0 01-1.707.707L4.586 13H2a1 1 0 01-1-1V8a1 1 0 011-1h2.586l3.707-3.707a1 1 0 011.09-.217zM14.657 2.929a1 1 0 011.414 0A9.972 9.972 0 0119 10a9.972 9.972 0 01-2.929 7.071a1 1 0 01-1.414-1.414A7.971 7.971 0 0017 10c0-2.21-.894-4.208-2.343-5.657a1 1 0 010-1.414zm-2.829 2.828a1 1 0 011.415 0A5.983 5.983 0 0115 10a5.984 5.984 0 01-1.757 4.243a1 1 0 01-1.415-1.415A3.984 3.984 0 0013 10a3.983 3.983 0 00-1.172-2.828a1 1 0 010-1.415z" clip-rule="evenodd" />
</svg>
Speak Haiku
</button>
<select id="voice-select" class="rounded-lg border border-gray-300 px-3 py-2 text-gray-700 max-w-full truncate" style="max-width: 200px; text-overflow: ellipsis;">
<option value="">Default Voice</option>
</select>
</div>
</div>
{% if context.is_default %}
<div class="mb-5">
<b>Note:</b> No haikus have been found in the haiku store.
</div>
{% endif %}
<a href="{{ url_for('index_view') }}"
class="inline-block bg-violet-600 hover:bg-violet-700 text-white font-bold py-2 px-4 rounded-lg mt-6">
Back to Home
</a>
</div>
</div>
<script>
document.addEventListener('DOMContentLoaded', function() {
const speakButton = document.getElementById('speak-button');
const haikuText = document.getElementById('haiku-text');
const voiceSelect = document.getElementById('voice-select');
let speaking = false;
let voices = [];
// Check if speech synthesis is supported
if (!('speechSynthesis' in window)) {
speakButton.disabled = true;
voiceSelect.disabled = true;
speakButton.title = "Speech synthesis not supported in your browser";
speakButton.classList.add('opacity-50');
console.error("Speech synthesis not supported");
}
function loadVoices() {
voices = window.speechSynthesis.getVoices();
voiceSelect.innerHTML = '<option value="">Default Voice</option>';
const preferredVoices = voices.filter(voice =>
voice.name.includes('Natural') ||
voice.name.includes('Premium') ||
voice.name.includes('Neural') ||
voice.name.includes('Enhanced')
);
// Add preferred voices first
preferredVoices.forEach(voice => {
const option = document.createElement('option');
option.value = voice.name;
option.textContent = `${voice.name} (${voice.lang}) ★`;
voiceSelect.appendChild(option);
});
// Add remaining voices
voices.forEach(voice => {
if (!preferredVoices.includes(voice)) {
const option = document.createElement('option');
option.value = voice.name;
option.textContent = `${voice.name} (${voice.lang})`;
voiceSelect.appendChild(option);
}
});
// Pre-select a good voice if available
for (const searchTerm of ['Neural', 'Premium', 'Natural', 'Enhanced', 'Daniel', 'Samantha', 'Karen']) {
const goodVoice = Array.from(voiceSelect.options).find(option =>
option.text.includes(searchTerm)
);
if (goodVoice) {
voiceSelect.value = goodVoice.value;
break;
}
}
}
// Load voices when available
if (window.speechSynthesis.onvoiceschanged !== undefined) {
window.speechSynthesis.onvoiceschanged = loadVoices;
}
// Initial load attempt
setTimeout(loadVoices, 100);
// Function to extract the haiku text properly
function getHaikuText() {
try {
// First try using innerText
let rawText = haikuText.innerText;
if (rawText && rawText.trim()) {
return rawText.trim();
}
// If that fails, try getting individual text nodes
let lines = [];
Array.from(haikuText.childNodes).forEach(node => {
if (node.nodeType === Node.TEXT_NODE && node.textContent.trim()) {
lines.push(node.textContent.trim());
}
});
// If we got lines, join them
if (lines.length > 0) {
return lines.join(' ');
}
// If nothing worked, fall back to extracting from HTML
return haikuText.textContent.replace(/<br>/g, ' ').trim();
} catch (e) {
console.error("Error extracting haiku text:", e);
try {
return "{{ context.haiku.lines|join(' ') }}";
} catch (e2) {
return "Could not retrieve haiku text.";
}
}
}
// Function to add natural pauses between haiku lines
function addPausesToHaiku(text) {
// Split by line breaks or typical line separators
const lines = text.split(/[\n\r]+|<br>|\. /).filter(line => line.trim().length > 0);
if (lines.length <= 1) {
return text;
}
// Join with pauses (using SSML pause syntax)
return lines.join('. ');
}
speakButton.addEventListener('click', function() {
try {
// If already speaking, stop
if (speaking) {
window.speechSynthesis.cancel();
speaking = false;
speakButton.classList.remove('bg-violet-800');
speakButton.innerHTML = '<svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5 mr-2" viewBox="0 0 20 20" fill="currentColor"><path fill-rule="evenodd" d="M9.383 3.076A1 1 0 0110 4v12a1 1 0 01-1.707.707L4.586 13H2a1 1 0 01-1-1V8a1 1 0 011-1h2.586l3.707-3.707a1 1 0 011.09-.217zM14.657 2.929a1 1 0 011.414 0A9.972 9.972 0 0119 10a9.972 9.972 0 01-2.929 7.071a1 1 0 01-1.414-1.414A7.971 7.971 0 0017 10c0-2.21-.894-4.208-2.343-5.657a1 1 0 010-1.414zm-2.829 2.828a1 1 0 011.415 0A5.983 5.983 0 0115 10a5.984 5.984 0 01-1.757 4.243a1 1 0 01-1.415-1.415A3.984 3.984 0 0013 10a3.983 3.983 0 00-1.172-2.828a1 1 0 010-1.415z" clip-rule="evenodd" /></svg> Speak Haiku';
return;
}
// Get the haiku text
let textContent = getHaikuText();
console.log("Speaking text:", textContent);
if (!textContent || textContent === "") {
console.error("No text to speak");
alert("No text to speak");
return;
}
// Add natural pauses
textContent = addPausesToHaiku(textContent);
// Create a new speech synthesis instance
const msg = new SpeechSynthesisUtterance();
msg.text = textContent;
// Set human-like speech parameters
msg.rate = 0.85; // Slightly slower pace for poetry
msg.pitch = 1.0; // Natural pitch
msg.volume = 1.0; // Full volume
// Set selected voice if available
if (voiceSelect.value) {
const selectedVoice = voices.find(voice => voice.name === voiceSelect.value);
if (selectedVoice) {
msg.voice = selectedVoice;
}
}
// Stop any ongoing speech
window.speechSynthesis.cancel();
// Set up event handlers
msg.onstart = function() {
speaking = true;
speakButton.classList.add('bg-violet-800');
speakButton.innerHTML = '<svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5 mr-2" viewBox="0 0 20 20" fill="currentColor"><path fill-rule="evenodd" d="M10 18a8 8 0 100-16 8 8 0 000 16zM8 7a1 1 0 00-1 1v4a1 1 0 001 1h4a1 1 0 001-1V8a1 1 0 00-1-1H8z" clip-rule="evenodd" /></svg> Stop Speaking';
};
msg.onend = function() {
speaking = false;
speakButton.classList.remove('bg-violet-800');
speakButton.innerHTML = '<svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5 mr-2" viewBox="0 0 20 20" fill="currentColor"><path fill-rule="evenodd" d="M9.383 3.076A1 1 0 0110 4v12a1 1 0 01-1.707.707L4.586 13H2a1 1 0 01-1-1V8a1 1 0 011-1h2.586l3.707-3.707a1 1 0 011.09-.217zM14.657 2.929a1 1 0 011.414 0A9.972 9.972 0 0119 10a9.972 9.972 0 01-2.929 7.071a1 1 0 01-1.414-1.414A7.971 7.971 0 0017 10c0-2.21-.894-4.208-2.343-5.657a1 1 0 010-1.414zm-2.829 2.828a1 1 0 011.415 0A5.983 5.983 0 0115 10a5.984 5.984 0 01-1.757 4.243a1 1 0 01-1.415-1.415A3.984 3.984 0 0013 10a3.983 3.983 0 00-1.172-2.828a1 1 0 010-1.415z" clip-rule="evenodd" /></svg> Speak Haiku';
};
msg.onerror = function(event) {
console.error("Speech synthesis error:", event);
speaking = false;
speakButton.classList.remove('bg-violet-800');
speakButton.innerHTML = '<svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5 mr-2" viewBox="0 0 20 20" fill="currentColor"><path fill-rule="evenodd" d="M9.383 3.076A1 1 0 0110 4v12a1 1 0 01-1.707.707L4.586 13H2a1 1 0 01-1-1V8a1 1 0 011-1h2.586l3.707-3.707a1 1 0 011.09-.217zM14.657 2.929a1 1 0 011.414 0A9.972 9.972 0 0119 10a9.972 9.972 0 01-2.929 7.071a1 1 0 01-1.414-1.414A7.971 7.971 0 0017 10c0-2.21-.894-4.208-2.343-5.657a1 1 0 010-1.414zm-2.829 2.828a1 1 0 011.415 0A5.983 5.983 0 0115 10a5.984 5.984 0 01-1.757 4.243a1 1 0 01-1.415-1.415A3.984 3.984 0 0013 10a3.983 3.983 0 00-1.172-2.828a1 1 0 010-1.415z" clip-rule="evenodd" /></svg> Speak Haiku';
};
// Introduce a very slight delay before each line (to ensure natural pacing)
setTimeout(() => {
window.speechSynthesis.speak(msg);
}, 100);
} catch (error) {
console.error("Speech synthesis error:", error);
speaking = false;
speakButton.classList.remove('bg-violet-800');
alert("Speech synthesis failed: " + error.message);
}
});
// Ensure speech is canceled when navigating away from the page
window.addEventListener('beforeunload', function() {
if (window.speechSynthesis) {
window.speechSynthesis.cancel();
}
});
});
</script>
{% endblock %}

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{% extends "base.html" %}
{% block content %}
<div class="bg-violet-900 min-h-screen flex items-center justify-center text-white">
<div class="text-center">
<div class="bg-white text-gray-900 p-10 rounded-lg shadow-lg max-w-2xl mx-auto transform -translate-y-10">
<h1 class="text-4xl font-bold text-violet-700 mb-6">{{ title }}</h1>
<p class="text-2xl italic leading-relaxed text-left">
{% for line in context.haiku.lines %}
{{ line }}<br>
{% endfor %}
</p>
</div>
{% if context.is_default %}
<div class="mb-5">
<b>Note:</b> No haikus have been found in the haiku store.
</div>
{% endif %}
<a href="{{ url_for('index_view') }}"
class=" inline-block bg-violet-600 hover:bg-violet-700 text-white font-bold py-2 px-4 rounded-lg">
Back to Home
</a>
</div>
</div>
{% endblock %}

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{% extends "base.html" %} {% block content %}
<style>
.grid-container {
display: grid;
grid-template-columns: repeat(2, 1fr); /* Two columns per row */
gap: 30px;
justify-content: center;
align-items: start;
padding: 50px;
}
.grid-item {
display: flex;
align-items: center;
gap: 20px;
position: relative;
}
/* Parallax Image Effect */
.grid-item img {
--f: 0.1; /* Parallax factor */
--r: 10px; /* Radius */
--_f: calc(100% * var(--f) / (1 + var(--f)));
--_a: calc(90deg * var(--f));
width: 150px;
aspect-ratio: calc(1 + var(--f));
object-fit: cover;
clip-path: inset(0 var(--_f) 0 0 round var(--r));
transform: perspective(400px) var(--_t, rotateY(var(--_a)));
transition: 0.5s;
cursor: pointer;
}
.grid-item img:hover {
clip-path: inset(0 0 0 var(--_f) round var(--r));
--_t: translateX(calc(-1 * var(--_f))) rotateY(calc(-1 * var(--_a)));
}
/* Info Box (No effect, solid background) */
.info-box {
width: 250px;
padding: 12px;
background: #fff; /* Solid white */
border-radius: 10px;
color: black;
text-align: left;
font-family: Arial, sans-serif;
}
.info-box h2 {
margin: 5px 0;
font-size: 18px;
}
.info-box p {
margin: 5px 0;
font-size: 14px;
}
.info-box .title {
font-weight: bold;
}
.button {
background-color: #7c3aed;
border: none;
color: white;
padding: 8px 12px;
text-align: center;
font-size: 14px;
cursor: pointer;
border-radius: 5px;
transition: background 0.3s;
}
.button:hover {
background-color: #8b5cf6;
}
</style>
<div class="grid-container">
<div class="grid-item">
<img
src="https://avatars.githubusercontent.com/u/58274330?v=4"
alt="PlexSheep"
/>
<div class="info-box">
<h2>PlexSheep</h2>
<p class="title text-violet-900">Backend Developer</p>
<p>
Cyber Security Student, passionate Hobbyist, Networkadmin and Sotware
Engineer
</p>
<a href="https://github.com/PlexSheep">Github</a>
<p>software@cscherr.de</p>
<p>
<a href="mailto:software@cscherr.de"
><button class="button">Contact</button></a
>
</p>
</div>
</div>
<div class="grid-item">
<img
src="https://avatars.githubusercontent.com/u/119286812?v=4"
alt="0xjrx"
style="--f: 0.12; --r: 5px"
/>
<div class="info-box">
<h2>0xjrx</h2>
<p class="title text-violet-900">Frontend Developer</p>
<p>Cyber Security Student working on malware research and development.</p>
<a href="https://github.com/0xjrx">Github</a>
<p>mrmarquard@protonmail.com</p>
<p>
<a href="mailto:mrmarquard@protonmail.com"
><button class="button">Contact</button></a
>
</p>
</div>
</div>
<div class="grid-item">
<img
src="https://avatars.githubusercontent.com/u/45919207?v=4"
alt="0xalivecow"
style="--f: 0.08; --r: 20px"
/>
<div class="info-box">
<h2>0xalivecow</h2>
<p class="title text-violet-900">Backend Developer</p>
<p>Cyber Security Student with a focus on Linux Security</p>
<a href="https://github.com/0xalivecow">Github</a>
<p>0xalivecow@ta-lotz.de</p>
<p>
<a href="mailto:0xalivecow@ta-lotz.de"
><button class="button">Contact</button></a
>
</p>
</div>
</div>
<div class="grid-item">
<img
src="https://avatars.githubusercontent.com/u/134395490?v=4"
alt="Amrasil"
style="--f: 0.08; --r: 20px"
/>
<div class="info-box">
<h2>Amrasil</h2>
<p class="title text-violet-900">Documentation and Code coverage</p>
<p>
Cyber Security student passionate about Mathematics and Machine
Learning.
</p>
<a href="https://github.com/Amrasil">Github</a>
<p>amrasil@proton.me</p>
<p>
<a href="mailto:amrasil@proton.me"
><button class="button">Contact</button></a
>
</p>
</div>
</div>
</div>
{% endblock %}

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{% extends "base.html" %}
{% block content %}
<div class="flex flex-col items-center justify-center min-h-screen bg-violet-900 text-white p-6">
<div class="bg-white text-gray-900 p-8 rounded-xl shadow-lg max-w-lg w-full text-center transform transition duration-300 hover:scale-105">
<h1 class="text-3xl font-bold text-violet-700 mb-4">Haiku Generator</h1>
<div class="flex flex-col gap-4">
<input
type="text"
id="user-input"
minlength="0"
maxlength="100"
placeholder="Type your prompt here..."
class="w-full px-4 py-3 text-lg border-2 border-gray-300 rounded-lg focus:outline-none focus:ring-2 focus:ring-violet-600"
/>
<button
id="submit-btn"
class="bg-violet-600 text-white font-bold py-3 px-6 rounded-lg text-lg shadow-md transition duration-300 hover:bg-violet-700 hover:scale-105"
>
🚀 Submit
</button>
</div>
<div
id="response-box"
class="mt-8 bg-white text-gray-900 p-6 rounded-lg shadow-lg max-w-lg w-full text-center transition-opacity duration-500 ease-in-out"
>
<h2 class="text-2xl font-semibold text-violet-700">Response:</h2>
<p id="ai-response" class="text-lg text-gray-700 mt-2 italic">
Waiting for input...
</p>
</div>
</div>
</div>
</div>
<script>
document.getElementById("submit-btn").addEventListener("click", function () {
let userInput = document.getElementById("user-input").value;
let responseBox = document.getElementById("response-box");
let responseText = document.getElementById("ai-response");
// Hide the response box initially
responseBox.classList.add("opacity-0");
if (userInput.trim() === "") {
responseText.textContent = "Please enter a prompt!";
} else if (userInput.length > 100) {
responseText.textContent = "Input must under 100 characters long!";
} else if (userInput.trim() === "amogus") {
responseText.textContent = "🤖 AI is thinking...";
responseBox.classList.remove("opacity-0");
// Simulated AI response delay
setTimeout(() => {
responseText.textContent = "Sus imposter ඞ";
}, 1500);
} else {
responseText.textContent = "🤖 AI is thinking...";
responseBox.classList.remove("opacity-0");
fetch("/api/v1/haiku", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({ prompt: userInput }),
})
.then((response) => response.text())
.then((data) => {
let id = parseInt(data, 10);
window.location.href = "/haiku/" + id;
})
.catch((error) => {
responseText.textContent = "Error: " + error.message;
});
}
});
</script>
{% endblock %}

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{% extends "base.html" %} {% block content %}
<div
class="flex flex-col items-center justify-center min-h-screen bg-violet-900 text-white p-6"
>
<div
class="bg-white text-gray-900 p-8 rounded-xl shadow-lg max-w-lg w-full text-center transform transition duration-300 hover:scale-105 mb-8"
>
<h1 class="text-3xl font-bold text-violet-700 mb-4">Upload your image</h1>
<!-- File Upload container-->
<div id="upload-area" class="flex items-center justify-center w-full">
<label
for="dropzone-file"
class="flex flex-col items-center justify-center w-full h-64 border-2 border-gray-300 border-dashed rounded-lg cursor-pointer bg-gray-50 dark:hover:bg-gray-800 dark:bg-gray-700 hover:bg-gray-100 dark:border-gray-600 dark:hover:border-gray-500 dark:hover:bg-gray-600"
>
<div class="flex flex-col items-center justify-center pt-5 pb-6">
<svg
class="w-8 h-8 mb-4 text-gray-500 dark:text-gray-400"
aria-hidden="true"
xmlns="http://www.w3.org/2000/svg"
fill="none"
viewBox="0 0 20 16"
>
<path
stroke="currentColor"
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M13 13h3a3 3 0 0 0 0-6h-.025A5.56 5.56 0 0 0 16 6.5 5.5 5.5 0 0 0 5.207 5.021C5.137 5.017 5.071 5 5 5a4 4 0 0 0 0 8h2.167M10 15V6m0 0L8 8m2-2 2 2"
/>
</svg>
<p class="mb-2 text-sm text-gray-500 dark:text-gray-400">
<span class="font-semibold">Click to upload</span> or drag and drop
</p>
<p class="text-xs text-gray-500 dark:text-gray-400">
SVG, PNG, JPG or GIF (MAX. 800x400px)
</p>
</div>
<input id="dropzone-file" type="file" accept="image/*" class="hidden" />
</label>
</div>
<!-- Image Preview container-->
<div id="image-preview" class="w-full hidden">
<div class="relative">
<img
id="preview-img"
src=""
alt="Preview"
class="w-full h-auto rounded-lg"
/>
<button
id="remove-image"
class="absolute top-2 right-2 bg-red-500 text-white rounded-full p-1 hover:bg-red-600"
title="Remove image"
>
<svg
xmlns="http://www.w3.org/2000/svg"
class="h-5 w-5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M6 18L18 6M6 6l12 12"
/>
</svg>
</button>
</div>
</div>
<!-- Error message -->
<div id="error-message" class="mt-4 text-red-500 hidden">
Please upload an image first.
</div>
<button
id="submit-button"
type="submit"
class="mt-6 bg-violet-600 hover:bg-violet-700 text-white font-bold py-2 px-4 rounded transition duration-300"
>
Submit
</button>
</div>
<div
id="response-box"
class="mt-8 bg-white text-gray-900 p-6 rounded-lg shadow-lg max-w-lg w-full text-center opacity-0 transition-opacity duration-500 ease-in-out"
>
<h2 class="text-2xl font-semibold text-violet-700">
AI recognized the following:
</h2>
<p id="ai-response" class="text-lg text-gray-700 mt-2 italic">
Waiting for input...
</p>
<div class="flex justify-center space-x-4">
<button
id="yesButton"
type="button"
class="mt-6 bg-violet-600 hover:bg-violet-700 text-white font-bold py-2 px-4 rounded transition duration-300"
>
Generate Haiku
</button>
<button
id="noButton"
type="button"
class="mt-6 bg-violet-600 hover:bg-violet-700 text-white font-bold py-2 px-4 rounded transition duration-300"
>
Input new image
</button>
</div>
</div>
<!-- New generating haiku div that appears after "Yes" is clicked -->
<div
id="generating-haiku-box"
class="mt-8 bg-white text-gray-900 p-6 rounded-lg shadow-lg max-w-lg w-full text-center hidden transition-opacity duration-500 ease-in-out"
>
<h2 class="text-2xl font-semibold text-violet-700">Generating Haiku</h2>
<div class="flex justify-center mt-4">
<div class="loader animate-pulse flex space-x-4">
<div class="w-3 h-3 bg-violet-600 rounded-full"></div>
<div class="w-3 h-3 bg-violet-600 rounded-full"></div>
<div class="w-3 h-3 bg-violet-600 rounded-full"></div>
</div>
</div>
<p class="text-lg text-gray-700 mt-4 italic">
Creating a beautiful haiku based on your image...
</p>
</div>
<div
id="generated-haiku-box"
class="mt-8 bg-white text-gray-900 p-6 rounded-lg shadow-lg max-w-lg w-full text-center hidden transition-opacity duration-500 ease-in-out"
>
<h2 class="text-2xl font-semibold text-violet-700">
Red suit, vents unseen,<br />
Sus behavior, crew unsure,<br />
Vote him, task complete.
</h2>
<div class="flex justify-center mt-4">
<div class="loader animate-pulse flex space-x-4">
<div class="w-3 h-3 bg-violet-600 rounded-full"></div>
<div class="w-3 h-3 bg-violet-600 rounded-full"></div>
<div class="w-3 h-3 bg-violet-600 rounded-full"></div>
</div>
</div>
<p class="text-lg text-gray-700 mt-4 italic">
Creating a beautiful haiku based on your image...
</p>
</div>
</div>
<script src="/static/js/scan.js"></script>
{% endblock %}

8
tests/conftest.py
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@ -1,11 +1,19 @@
from __future__ import annotations
import tempfile import tempfile
from pathlib import Path from pathlib import Path
import pytest import pytest
from senju.store_manager import StoreManager
@pytest.fixture(scope="session") @pytest.fixture(scope="session")
def temp_data_dir(): def temp_data_dir():
"""Create a temporary directory for test data""" """Create a temporary directory for test data"""
return Path(tempfile.mkdtemp()) return Path(tempfile.mkdtemp())
@pytest.fixture(scope="session")
def store_manager(temp_data_dir):
return StoreManager(temp_data_dir / "store.json")

68
tests/test_haiku.py Normal file
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@ -0,0 +1,68 @@
# I do not trust python and it's tests, so I'm testing them. May not be worth
# much, but at least it shows me a few things.
from __future__ import annotations
import json
from pytest_httpserver import HTTPServer
import requests
# do not remove this import. This is needed for
# pytest fixtures to work
import pytest # noqa: F401
from senju.haiku import Haiku # noqa: F401
# Note: these weird arguments are an indicator of what should be dome
# before. For example, `temp_data_dir` is a function in `conftest.py`. If we
# put it in the arguments, it seems to run before our test, and the return
# value becomes a local. This is all very confusing for someone used to
# Rust's libtest
def test_create_haiku():
haiku = Haiku(["line number 1", "line number 2", "line number 3"])
assert haiku.lines[0] == "line number 1"
assert haiku.lines[1] == "line number 2"
assert haiku.lines[2] == "line number 3"
assert len(haiku.lines) == 3
def test_get_haiku_json():
haiku = Haiku(["line number 1", "line number 2", "line number 3"])
data_raw: str = haiku.get_json()
assert data_raw == '["line number 1", "line number 2", "line number 3"]'
data = json.loads(data_raw)
assert haiku.lines[0] == "line number 1"
assert haiku.lines[1] == "line number 2"
assert haiku.lines[2] == "line number 3"
assert len(haiku.lines) == 3
assert data == ['line number 1', 'line number 2', 'line number 3']
def test_request_haiku(httpserver: HTTPServer):
httpserver.expect_request(
"/testhaiku").respond_with_json({"response":
"The apparition of these\n"
"faces in a crowd; Petal\n"
"on a wet, black bough."
})
haiku = Haiku.request_haiku(
"apple banana papaya", url=httpserver.url_for("/testhaiku"))
assert haiku.lines[0] == "The apparition of these"
assert haiku.lines[1] == "faces in a crowd; Petal"
assert haiku.lines[2] == "on a wet, black bough."
assert len(haiku.lines) == 3
def test_request_haiku_respondse_bad(httpserver: HTTPServer):
with pytest.raises(requests.exceptions.JSONDecodeError):
httpserver.expect_request(
"/testhaiku").respond_with_data(
"this is completely wrong" + ("A" * 50 + "\n") * 20)
Haiku.request_haiku(
"apple banana papaya", url=httpserver.url_for("/testhaiku"))

95
tests/test_store.py Normal file
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# do not remove this import. This is needed for
# pytest fixtures to work
from __future__ import annotations
import pytest # noqa: F401
import os
from senju.haiku import DEFAULT_HAIKU, Haiku
from senju.store_manager import StoreManager # noqa: F401
def test_temp_data_dir(temp_data_dir):
print(temp_data_dir)
testpath = temp_data_dir / "__test"
with open(testpath, "w") as f:
f.write("that dir actually works")
os.remove(testpath)
assert not os.path.exists(testpath)
def test_save_and_load_any(store_manager: StoreManager):
thing = {
"color": "blue",
"number": 19,
"inner": {
"no": "yes"
}
}
thing_id = store_manager._save(thing)
thing_loaded = store_manager._load(thing_id)
if thing_loaded is None:
assert False, "store manager load did not return anything but \
should have"
for key in thing.keys():
assert thing[key] == thing_loaded[key]
def test_save_and_load_haiku(store_manager: StoreManager):
h = Haiku(lines=["foobar", "qux"])
hid = store_manager.save_haiku(h)
h_loaded = store_manager.load_haiku(hid)
if h_loaded is None:
assert False, "store manager load_haiku did not return anything \
but should have"
assert h == h_loaded
assert h != DEFAULT_HAIKU
def test_load_latest_with_empty_store(temp_data_dir):
store = StoreManager(temp_data_dir / "empty_store.json")
h = store.get_id_of_latest_haiku()
assert h is None
def test_load_latest_or_default_with_empty(temp_data_dir):
store = StoreManager(temp_data_dir / "load_or_default_empty.json")
haiku = store.load_haiku(store.get_id_of_latest_haiku())
assert haiku == DEFAULT_HAIKU
def test_load_latest_or_default_with_non_empty(temp_data_dir):
store = StoreManager(temp_data_dir / "load_or_default_not_empty.json")
nonsense_test_haiku = Haiku(["nonsense", "test", "haiku"])
store.save_haiku(nonsense_test_haiku)
haiku = store.load_haiku(store.get_id_of_latest_haiku())
assert haiku != DEFAULT_HAIKU
assert haiku == nonsense_test_haiku
def test_load_latest_with_non_empty_store(temp_data_dir):
store = StoreManager(temp_data_dir / "empty_store.json")
store.save_haiku(Haiku(["hello", "world", "bananenkrokodil"]))
h = store.get_id_of_latest_haiku()
assert h is not None
assert h > 0
def test_create_store_with_bad_file(temp_data_dir):
with pytest.raises(Exception):
testpath = temp_data_dir / "non_empty.json"
with open(testpath, "w") as f:
f.write("BUT IT DOES NOT ACTUALLY HAVE JSON")
store = StoreManager(testpath)
store._save({"hello": 19})
def test_create_store_with_non_empty(temp_data_dir):
testpath = temp_data_dir / "non_empty.json"
with open(testpath, "w") as f:
f.write('{"this": ["is","valid","json"]}')
store = StoreManager(testpath)
store._save({"hello": 19})

25
tests/test_tests.py
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@ -1,25 +0,0 @@
# I do not trust python and it's tests, so I'm testing them. May not be worth much, but at least it shows me a few things.
import os
import pytest # noqa: F401 do not remove this import. This is needed for pytest fixtures to work
import senju # noqa: F401
# Note: these weird arguments are an indicator of what should be dome before. For example,
# `temp_data_dir` is a function in `conftest.py`. If we put it in the arguments, it seems
# to run before our test, and the return value becomes a local.
#
# This is all very confusing for someone used to Rust's libtest
def test_tests_are_loaded():
assert True # if we make it here, they are
def test_temp_data_dir(temp_data_dir):
print(temp_data_dir)
testpath = temp_data_dir / "__test"
with open(testpath, "w") as f:
f.write("that dir actually works")
os.remove(testpath)