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0.1.0
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| Author | SHA1 | Date | |
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3
.gitignore
vendored
3
.gitignore
vendored
@ -160,3 +160,6 @@ cython_debug/
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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.cache/
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.vscode/
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28
README.md
28
README.md
@ -1,2 +1,30 @@
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# multiplayer_crosswords
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This project is a web-based multiplayer crossword puzzle game that allows multiple users to collaborate in solving crossword puzzles in real-time. It features a user-friendly interface, session management, and real-time updates to enhance the collaborative experience.
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## installation
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1. Clone the repository:
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```bash
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git clone https://the-cake-is-a-lie.net/gitea/jonas/multiplayer_crosswords.git
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cd multiplayer_crosswords
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```
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2. Install this repository as a package:
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```bash
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pip install .
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```
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## start the server
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```bash
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python -m multiplayer_crosswords.server.main
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```
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## start the webui
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```bash
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python -m multiplayer_crosswords.server.serve_frontend --port 8080
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```
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Then open your browser and navigate to `http://localhost:8080`.
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1422532
data/de.json
1422532
data/de.json
File diff suppressed because it is too large
Load Diff
789
data/dictionary_generation.ipynb
Normal file
789
data/dictionary_generation.ipynb
Normal file
@ -0,0 +1,789 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "e048da07",
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"metadata": {},
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"source": [
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"# Create Dictionaies for crossword clues\n",
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"\n",
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"this notebook creates dictionaries for crossword clues.\n",
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"\n",
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"The final dictionaries will be saved as json file, containing a list of entries in the following format:\n",
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"\n",
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"```json\n",
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"{\n",
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" \"<unique_word_entry>\": {\n",
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" \"word\": \"<word>\",\n",
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" \"senses\": [\n",
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" \"<definition_1>\",\n",
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" \"<definition_2>\",\n",
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" \"...\" \n",
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" ],\n",
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" \"synonyms\": [\n",
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" \"<synonym_1>\",\n",
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" \"<synonym_2>\",\n",
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" \"...\" \n",
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" ],\n",
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" \"antonyms\": [\n",
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" \"<antonym_1>\",\n",
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" \"<antonym_2>\",\n",
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" \"...\" \n",
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" ],\n",
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" \"word_frequency\": <frequency_value (from 0 to 100)>\n",
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"\n",
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" },\n",
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"}\n",
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"```\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "28040681",
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"metadata": {},
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"source": [
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"### Install some dependencies for that notebook"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "f0aecff7",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: tqdm in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (4.67.1)\n",
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"Requirement already satisfied: pandas in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (2.3.0)\n",
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"Requirement already satisfied: requests in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (2.32.5)\n",
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"Requirement already satisfied: ipywidgets in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (8.1.8)\n",
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"Requirement already satisfied: pydantic in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (2.12.4)\n",
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"Requirement already satisfied: nltk in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (3.9.2)\n",
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"Requirement already satisfied: numpy>=1.26.0 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from pandas) (2.2.6)\n",
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"Requirement already satisfied: python-dateutil>=2.8.2 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from pandas) (2.9.0.post0)\n",
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"Requirement already satisfied: pytz>=2020.1 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from pandas) (2025.2)\n",
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"Requirement already satisfied: tzdata>=2022.7 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from pandas) (2025.2)\n",
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"Requirement already satisfied: charset_normalizer<4,>=2 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from requests) (3.4.4)\n",
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"Requirement already satisfied: idna<4,>=2.5 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from requests) (3.11)\n",
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"Requirement already satisfied: urllib3<3,>=1.21.1 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from requests) (2.5.0)\n",
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"Requirement already satisfied: certifi>=2017.4.17 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from requests) (2025.11.12)\n",
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"Requirement already satisfied: comm>=0.1.3 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from ipywidgets) (0.2.3)\n",
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"Requirement already satisfied: ipython>=6.1.0 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from ipywidgets) (9.7.0)\n",
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"Requirement already satisfied: traitlets>=4.3.1 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from ipywidgets) (5.14.3)\n",
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"Requirement already satisfied: widgetsnbextension~=4.0.14 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from ipywidgets) (4.0.15)\n",
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||||
"Requirement already satisfied: jupyterlab_widgets~=3.0.15 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from ipywidgets) (3.0.16)\n",
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||||
"Requirement already satisfied: annotated-types>=0.6.0 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from pydantic) (0.7.0)\n",
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||||
"Requirement already satisfied: pydantic-core==2.41.5 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from pydantic) (2.41.5)\n",
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||||
"Requirement already satisfied: typing-extensions>=4.14.1 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from pydantic) (4.15.0)\n",
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||||
"Requirement already satisfied: typing-inspection>=0.4.2 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from pydantic) (0.4.2)\n",
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||||
"Requirement already satisfied: click in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from nltk) (8.3.1)\n",
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||||
"Requirement already satisfied: joblib in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from nltk) (1.5.2)\n",
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||||
"Requirement already satisfied: regex>=2021.8.3 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from nltk) (2025.11.3)\n",
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||||
"Requirement already satisfied: decorator>=4.3.2 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from ipython>=6.1.0->ipywidgets) (5.2.1)\n",
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"Requirement already satisfied: jedi>=0.18.1 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from ipython>=6.1.0->ipywidgets) (0.19.2)\n",
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"Requirement already satisfied: matplotlib-inline>=0.1.5 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from ipython>=6.1.0->ipywidgets) (0.2.1)\n",
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"Requirement already satisfied: pexpect>4.3 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from ipython>=6.1.0->ipywidgets) (4.9.0)\n",
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"Requirement already satisfied: prompt_toolkit<3.1.0,>=3.0.41 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from ipython>=6.1.0->ipywidgets) (3.0.52)\n",
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"Requirement already satisfied: pygments>=2.11.0 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from ipython>=6.1.0->ipywidgets) (2.19.2)\n",
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||||
"Requirement already satisfied: stack_data>=0.6.0 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from ipython>=6.1.0->ipywidgets) (0.6.3)\n",
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||||
"Requirement already satisfied: six>=1.5 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
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"Requirement already satisfied: parso<0.9.0,>=0.8.4 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from jedi>=0.18.1->ipython>=6.1.0->ipywidgets) (0.8.5)\n",
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||||
"Requirement already satisfied: ptyprocess>=0.5 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from pexpect>4.3->ipython>=6.1.0->ipywidgets) (0.7.0)\n",
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"Requirement already satisfied: wcwidth in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from prompt_toolkit<3.1.0,>=3.0.41->ipython>=6.1.0->ipywidgets) (0.2.14)\n",
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||||
"Requirement already satisfied: executing>=1.2.0 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from stack_data>=0.6.0->ipython>=6.1.0->ipywidgets) (2.2.1)\n",
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||||
"Requirement already satisfied: asttokens>=2.1.0 in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from stack_data>=0.6.0->ipython>=6.1.0->ipywidgets) (3.0.1)\n",
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||||
"Requirement already satisfied: pure-eval in /home/jonas/.cache/pypoetry/virtualenvs/multiplayer-crosswords-W02cfZ32-py3.12/lib/python3.12/site-packages (from stack_data>=0.6.0->ipython>=6.1.0->ipywidgets) (0.2.3)\n"
|
||||
]
|
||||
}
|
||||
],
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||||
"source": [
|
||||
"# install dependencies for this notebooks\n",
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||||
"\n",
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||||
"!pip install tqdm pandas requests ipywidgets pydantic nltk"
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||||
]
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||||
},
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||||
{
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||||
"cell_type": "markdown",
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||||
"id": "a0964dfc",
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||||
"metadata": {},
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||||
"source": [
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||||
"### Import Libraries and define Constants and source urls"
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||||
]
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||||
},
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||||
{
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||||
"cell_type": "code",
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||||
"execution_count": 2,
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||||
"id": "e7d3d24f",
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||||
"metadata": {},
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||||
"outputs": [
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||||
{
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||||
"name": "stderr",
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"output_type": "stream",
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||||
"text": [
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||||
"/tmp/ipykernel_177453/1748613008.py:4: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
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||||
" from tqdm.autonotebook import tqdm\n"
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||||
]
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||||
}
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||||
],
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||||
"source": [
|
||||
"# import necessary libraries\n",
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"import pandas as pd\n",
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||||
"import requests\n",
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||||
"from tqdm.autonotebook import tqdm \n",
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||||
"from pathlib import Path\n",
|
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"import json\n",
|
||||
"# some constants\n",
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||||
"\n",
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"CACHE_DIR = Path(\"./.cache\")\n",
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||||
"CACHE_DIR.mkdir(exist_ok=True)\n",
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||||
"\n",
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||||
"CRYPTICS_CROSSWORDS_DB_URL = \"https://cryptics.georgeho.org/data/clues.csv?_stream=on&_size=max\"\n",
|
||||
"CRYPTICS_CROSSWORDS_DB_CSV = CACHE_DIR / \"cryptics_clues.csv\"\n",
|
||||
"\n",
|
||||
"# german wictionary data:\n",
|
||||
"\n",
|
||||
"\n",
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||||
"COMPRESSED_DE_WIKTIONARY_DUMP_URL = \"https://kaikki.org/dewiktionary/raw-wiktextract-data.jsonl.gz\"\n",
|
||||
"COMPRESSED_DE_WIKTIONARY_DUMP = CACHE_DIR / \"de_wiktionary.jsonl.gz\""
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||||
]
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||||
},
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{
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"cell_type": "markdown",
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||||
"id": "61263a61",
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"metadata": {},
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"source": [
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"## Download External Data\n",
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||||
"\n",
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"* Crypticts DB (\"https://cryptics.georgeho.org/\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "806a5c51",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"[nltk_data] Downloading package wordnet to /home/jonas/nltk_data...\n",
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||||
"[nltk_data] Package wordnet is already up-to-date!\n",
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"[nltk_data] Downloading package omw-1.4 to /home/jonas/nltk_data...\n",
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||||
"[nltk_data] Package omw-1.4 is already up-to-date!\n",
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"[nltk_data] Downloading package omw to /home/jonas/nltk_data...\n",
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"[nltk_data] Package omw is already up-to-date!\n"
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||||
]
|
||||
}
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||||
],
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||||
"source": [
|
||||
"# download the cryptics crosswords database if not already cached \n",
|
||||
"if not CRYPTICS_CROSSWORDS_DB_CSV.exists():\n",
|
||||
" response = requests.get(CRYPTICS_CROSSWORDS_DB_URL)\n",
|
||||
" with open(CRYPTICS_CROSSWORDS_DB_CSV, \"wb\") as f:\n",
|
||||
" f.write(response.content)\n",
|
||||
"\n",
|
||||
"# download wordnet from nltk\n",
|
||||
"import nltk\n",
|
||||
"nltk.download('wordnet')\n",
|
||||
"nltk.download('omw-1.4') # optional, extra languages / lemmas\n",
|
||||
"nltk.download('omw') # try the older omw package\n",
|
||||
"\n",
|
||||
"# download the german wiktionary dump if not already cached\n",
|
||||
"if not COMPRESSED_DE_WIKTIONARY_DUMP.exists():\n",
|
||||
" response = requests.get(COMPRESSED_DE_WIKTIONARY_DUMP_URL, stream=True)\n",
|
||||
" with open(COMPRESSED_DE_WIKTIONARY_DUMP, \"wb\") as f:\n",
|
||||
" for chunk in tqdm(response.iter_content(chunk_size=8192), desc=\"Downloading de wiktionary dump\"):\n",
|
||||
" f.write(chunk)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
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||||
"id": "26060068",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Define our Datastructures"
|
||||
]
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||||
},
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||||
{
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||||
"cell_type": "code",
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||||
"execution_count": 4,
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||||
"id": "8c81708c",
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||||
"metadata": {},
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||||
"outputs": [],
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||||
"source": [
|
||||
"from pydantic import BaseModel\n",
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||||
"import re \n",
|
||||
"\n",
|
||||
"class WordEntry(BaseModel):\n",
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||||
" word: str\n",
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||||
" senses: list[str]\n",
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||||
" synonyms: list[str]\n",
|
||||
" antonyms: list[str]\n",
|
||||
" word_frequency: int # frequency rank of the word (0% - 100%)\n",
|
||||
" source: str # source of the word entry (e.g., \"cryptics\", \"wordnet\", etc.)\n",
|
||||
" categories: list[str] # categories or tags associated with the word entry\n",
|
||||
"\n",
|
||||
"class Dictionary(BaseModel):\n",
|
||||
" entries: dict[str, WordEntry] # mapping from word to WordEntry\n",
|
||||
" def add_entry(self, entry: WordEntry):\n",
|
||||
" if entry.word not in self.entries: \n",
|
||||
" self.entries[entry.word] = entry\n",
|
||||
" else:\n",
|
||||
" if entry.source == self.entries[entry.word].source:\n",
|
||||
" # merge entries if word already exists\n",
|
||||
" existing_entry = self.entries[entry.word]\n",
|
||||
" existing_entry.senses = list(set(existing_entry.senses) | set(entry.senses))\n",
|
||||
" existing_entry.synonyms = list(set(existing_entry.synonyms) | set(entry.synonyms))\n",
|
||||
" existing_entry.antonyms = list(set(existing_entry.antonyms) | set(entry.antonyms))\n",
|
||||
" existing_entry.categories = list(set(existing_entry.categories) | set(entry.categories))\n",
|
||||
" existing_entry.word_frequency = max(existing_entry.word_frequency, entry.word_frequency)\n",
|
||||
" else:\n",
|
||||
" # create a new entry\n",
|
||||
" word = entry.word\n",
|
||||
" i = 1\n",
|
||||
" while f\"{word}_{i}\" in self.entries:\n",
|
||||
" i += 1 \n",
|
||||
" self.entries[f\"{word}_{i}\"] = entry\n",
|
||||
"\n",
|
||||
" "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "b1397355",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Parse Data (EN)\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"id": "56988415",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"en_db = Dictionary (entries={})"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "d5b35c1b",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Parse cryptics DB"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"id": "e9e1ee43",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "75b431216f3249c7879d87fe33f7817a",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
" 0%| | 0/42 [00:00<?, ?it/s]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# csv structure: we will use the column clue as senses and the column answer (lowercase) as word.\n",
|
||||
"# words that have spaces will be skipped\n",
|
||||
"\n",
|
||||
"# read the file in batches to avoid memory issues \n",
|
||||
"batch_size = 1000\n",
|
||||
"\n",
|
||||
"# Calculate total lines safely\n",
|
||||
"try:\n",
|
||||
" total_lines = sum(1 for line in open(CRYPTICS_CROSSWORDS_DB_CSV))\n",
|
||||
"except Exception as e:\n",
|
||||
" print(f\"Error counting lines: {e}\")\n",
|
||||
" total_lines = 0\n",
|
||||
"\n",
|
||||
"cryptics_cols = \"rowid\tclue\tanswer\tdefinition\tclue_number\tpuzzle_date\tpuzzle_name\tsource_url\tsource\".split()\n",
|
||||
"\n",
|
||||
"for start_row in tqdm(range(1, total_lines, batch_size)):\n",
|
||||
" try:\n",
|
||||
" # Use on_bad_lines='skip' to handle rows with too many fields\n",
|
||||
" df = pd.read_csv(CRYPTICS_CROSSWORDS_DB_CSV, skiprows=start_row, nrows=batch_size, names=cryptics_cols, on_bad_lines='skip')\n",
|
||||
" except Exception as e:\n",
|
||||
" print(f\"Error reading batch starting at {start_row}: {e}\")\n",
|
||||
" continue\n",
|
||||
"\n",
|
||||
" for index, row in df.iterrows():\n",
|
||||
" # Check if answer is a string (handles NaN)\n",
|
||||
" if not isinstance(row['answer'], str):\n",
|
||||
" continue\n",
|
||||
"\n",
|
||||
" word = row['answer'].lower()\n",
|
||||
" if ' ' in word:\n",
|
||||
" continue\n",
|
||||
" \n",
|
||||
" # Check if clue is a string\n",
|
||||
" if not isinstance(row['clue'], str):\n",
|
||||
" continue\n",
|
||||
"\n",
|
||||
" clue = row['clue']\n",
|
||||
" # replace - and _ with empty string\n",
|
||||
" word = word.replace(\"-\", \"\").replace(\"_\", \"\")\n",
|
||||
" word = word.lower()\n",
|
||||
"\n",
|
||||
" # remove numbers in parentheses or brackets (e.g. (5), [4], (3,4), [1-9])\n",
|
||||
" clue = re.sub(r'\\s*[(\\[][\\d,\\-\\s]+[)\\]]$', '', clue).strip()\n",
|
||||
"\n",
|
||||
" # if the word is not alphabetic, skip it\n",
|
||||
" if not word.isalpha():\n",
|
||||
" continue \n",
|
||||
" en_db.add_entry(WordEntry(\n",
|
||||
" word=word,\n",
|
||||
" senses=[clue],\n",
|
||||
" synonyms=[],\n",
|
||||
" antonyms=[],\n",
|
||||
" word_frequency=-1, # placeholder frequency\n",
|
||||
" source=\"cryptics\",\n",
|
||||
" categories=[\"cryptic_clue\"]\n",
|
||||
" ))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "62734af4",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Parse Wordnet Data\n",
|
||||
"\n",
|
||||
"* import necessary stuff:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "32280691",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from nltk.corpus import wordnet as wn\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "e13bf2f3",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"* Parse synsets"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"id": "b21721e2",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "9f8d4c77558e478b9cf214d851fd503e",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
" 0%| | 0/117659 [00:00<?, ?it/s]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"all_synsets = wn.all_synsets()\n",
|
||||
"\n",
|
||||
"def frequency_metric(lemma, word):\n",
|
||||
" # derive a frequency metric, based on polysemy and lemma count:\n",
|
||||
" # 1. SemCor frequency count for this specific sense\n",
|
||||
" semcor_count = lemma.count()\n",
|
||||
" # 2. Polysemy: number of synsets for this word\n",
|
||||
" polysemy_count = len(wn.synsets(word))\n",
|
||||
" \n",
|
||||
" return semcor_count + polysemy_count\n",
|
||||
" \n",
|
||||
"\n",
|
||||
"for synset in tqdm(list(all_synsets)):\n",
|
||||
" #print(synset.name(), synset.definition() )\n",
|
||||
"\n",
|
||||
" # find the first \"good\" lemma name (only alphabetic characters) \n",
|
||||
" # WE NEED LEMMA OBJECTS NOW, NOT JUST NAMES\n",
|
||||
" good_lemmas = [lemma for lemma in synset.lemmas() if lemma.name().isalpha()] \n",
|
||||
" if not good_lemmas:\n",
|
||||
" continue \n",
|
||||
"\n",
|
||||
" target_lemma = good_lemmas[0]\n",
|
||||
" word = target_lemma.name().lower()\n",
|
||||
" clue = synset.definition()\n",
|
||||
"\n",
|
||||
" # Calculate frequency\n",
|
||||
" raw_metric = frequency_metric(target_lemma, word)\n",
|
||||
" \n",
|
||||
" # Normalize to 0-100 range\n",
|
||||
" # Values can range from 1 to >200 for very common words.\n",
|
||||
" # We apply a factor and clamp.\n",
|
||||
" # Using factor 1.0 means 100 count -> 100 frequency.\n",
|
||||
" word_frequency = min(100, int(raw_metric))\n",
|
||||
"\n",
|
||||
" en_db.add_entry(WordEntry(\n",
|
||||
" word=word,\n",
|
||||
" senses=[clue],\n",
|
||||
" synonyms=[],\n",
|
||||
" antonyms=[],\n",
|
||||
" word_frequency=word_frequency,\n",
|
||||
" source=\"wordnet\",\n",
|
||||
" categories=[\"wordnet\"]\n",
|
||||
" ))\n",
|
||||
" \n",
|
||||
" #break"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "1e246fd0",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Parse German Data\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"id": "63953ce6",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"de_db = Dictionary (entries={})"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"id": "435d0b78",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "76b0adb1fab244feaa5ab51c985fbe5f",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"Processing German Wiktionary entries: 0it [00:00, ?it/s]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Processed 78859 entries from German Wiktionary dump.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# inspect data first. File contains jsonl.gz entries per line\n",
|
||||
"\n",
|
||||
"import gzip\n",
|
||||
"import json\n",
|
||||
"import difflib\n",
|
||||
"\n",
|
||||
"# define a helper function to fince the similarity between words. Used to sort out glosses with words too similar to the search word.\n",
|
||||
"def _similarity_ratio(word1, word2):\n",
|
||||
" return difflib.SequenceMatcher(None, word1.lower(), word2.lower()).ratio()\n",
|
||||
"\n",
|
||||
"def _ascii_word(word):\n",
|
||||
" word = word.lower()\n",
|
||||
" word = word.replace(\"ä\", \"ae\")\n",
|
||||
" word = word.replace(\"ö\", \"oe\")\n",
|
||||
" word = word.replace(\"ü\", \"ue\")\n",
|
||||
" word = word.replace(\"ß\", \"ss\")\n",
|
||||
"\n",
|
||||
" return word \n",
|
||||
"\n",
|
||||
"def _only_acscii_chars_in_word(word):\n",
|
||||
" # returns true if only the ascii alphabet is in the word\n",
|
||||
" return all(c.isascii() and c.isalpha() for c in word)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"def get_best_gloss_for_sesne(word, sense): \n",
|
||||
" normalized_word = word.lower()\n",
|
||||
"\n",
|
||||
" glosses = sense.get(\"glosses\", [])\n",
|
||||
" for g in glosses:\n",
|
||||
" if normalized_word in g.lower():\n",
|
||||
" continue\n",
|
||||
" \n",
|
||||
" # Use similarity ratio to skip glosses that are too close to the word itself (e.g. simple variations).\n",
|
||||
" # check each word in the gloss\n",
|
||||
" gloss_words = re.findall(r'\\b\\w+\\b', g.lower()) \n",
|
||||
" found_similar = False \n",
|
||||
" for gw in gloss_words:\n",
|
||||
" if _similarity_ratio(normalized_word, gw) > 0.8:\n",
|
||||
" #print(\"too similar:\", normalized_word, gw, \"->\", _similarity_ratio(normalized_word, gw), g)\n",
|
||||
" found_similar = True \n",
|
||||
" break \n",
|
||||
" \n",
|
||||
" if found_similar:\n",
|
||||
" continue \n",
|
||||
" return g\n",
|
||||
"\n",
|
||||
" return None\n",
|
||||
"\n",
|
||||
"def calculate_frequency_score(json_data):\n",
|
||||
" # A heuristic to estimate word frequency/commonality based on available data\n",
|
||||
" score = 0\n",
|
||||
" \n",
|
||||
" # 1. Number of senses (polysemy): Common words usually have multiple meanings\n",
|
||||
" senses = json_data.get(\"senses\", [])\n",
|
||||
" score += len(senses) * 2\n",
|
||||
" \n",
|
||||
" # 2. Number of translations: Common words are translated into many languages\n",
|
||||
" translations = json_data.get(\"translations\", [])\n",
|
||||
" score += len(translations) * 0.5\n",
|
||||
" \n",
|
||||
" # 3. Has audio pronunciation? Common words usually do.\n",
|
||||
" sounds = json_data.get(\"sounds\", [])\n",
|
||||
" if sounds:\n",
|
||||
" score += 5\n",
|
||||
" \n",
|
||||
" # 4. Check for \"rare\", \"obsolete\", \"archaic\" tags in senses\n",
|
||||
" # If a word is ONLY archaic, it should be low frequency.\n",
|
||||
" # But usually we want to just boost the \"normal\" ones.\n",
|
||||
" \n",
|
||||
" # Normalize heavily. \n",
|
||||
" # A word like \"Haus\" might have huge scores.\n",
|
||||
" # We want a 0-100 scale.\n",
|
||||
" \n",
|
||||
" return min(100, int(score))\n",
|
||||
"\n",
|
||||
"def process_entry(json_data, min_freq_score=10):\n",
|
||||
" senses = json_data.get(\"senses\", []) \n",
|
||||
" processed_senses = []\n",
|
||||
" tags = set()\n",
|
||||
" for sense in senses:\n",
|
||||
" glosses = sense .get(\"glosses\", [])\n",
|
||||
" topic_labels = sense.get(\"topics\", [])\n",
|
||||
" best_gloss = get_best_gloss_for_sesne(json_data.get(\"word\", \"\"), sense)\n",
|
||||
" for topic in topic_labels:\n",
|
||||
" tags.add(topic)\n",
|
||||
" if best_gloss:\n",
|
||||
" text = best_gloss\n",
|
||||
" if topic_labels and len(topic_labels) > 0:\n",
|
||||
" text = \"\" + \", \".join(topic_labels) + \": \" + text\n",
|
||||
" processed_senses.append(text)\n",
|
||||
" \n",
|
||||
" # Calculate Frequency\n",
|
||||
" freq = calculate_frequency_score(json_data)\n",
|
||||
"\n",
|
||||
" if freq < min_freq_score:\n",
|
||||
" return [] # skip low frequency words\n",
|
||||
"\n",
|
||||
" if not _only_acscii_chars_in_word(_ascii_word(json_data.get(\"word\", \"\"))):\n",
|
||||
" return [] # skip non-ascii words\n",
|
||||
"\n",
|
||||
" if len(processed_senses) == 0:\n",
|
||||
" return [] # skip entries with no valid senses \n",
|
||||
" \n",
|
||||
" de_db.add_entry(WordEntry(\n",
|
||||
" word=_ascii_word(json_data.get(\"word\", \"\").lower()),\n",
|
||||
" senses=processed_senses,\n",
|
||||
" synonyms=[],\n",
|
||||
" antonyms=[],\n",
|
||||
" word_frequency=freq, \n",
|
||||
" source=\"de_wiktionary\",\n",
|
||||
" categories=list(tags)\n",
|
||||
" )) \n",
|
||||
"\n",
|
||||
" return processed_senses\n",
|
||||
"\n",
|
||||
"def parse_entry(json_line):\n",
|
||||
"\n",
|
||||
" \n",
|
||||
" #print(\"\\n\")\n",
|
||||
" #print(\"Parsing entry:\", json_line)\n",
|
||||
" json_data = json.loads(json_line) \n",
|
||||
" lang_code = json_data.get(\"lang_code\", \"unknown\").lower()\n",
|
||||
" if lang_code != \"de\":\n",
|
||||
" return False \n",
|
||||
" #print(\"word:\", json_data.get(\"word\"))\n",
|
||||
" senses = json_data.get(\"senses\", []) \n",
|
||||
" processed_senses = process_entry(json_data)\n",
|
||||
" if len(processed_senses) == 0:\n",
|
||||
" #print(\"No valid senses found, skipping.\")\n",
|
||||
" return False \n",
|
||||
" #print(\"Senses / glosses:\", processed_senses)\n",
|
||||
" return True\n",
|
||||
"\n",
|
||||
"# read file in unzipping on the fly using gzip module\n",
|
||||
"# \"rt\" mode opens it as text, handling newlines correctly after decompression\n",
|
||||
"with gzip.open(COMPRESSED_DE_WIKTIONARY_DUMP, \"rt\", encoding=\"utf-8\") as f:\n",
|
||||
" i = 0\n",
|
||||
" for _, line in enumerate(tqdm(f, desc=\"Processing German Wiktionary entries\" ) ):\n",
|
||||
" #if i >= 10: \n",
|
||||
" # break\n",
|
||||
" if line.strip():\n",
|
||||
" if parse_entry(line.strip()):\n",
|
||||
" i += 1\n",
|
||||
" print(f\"Processed {i} entries from German Wiktionary dump.\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "be16b393",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Save extracted databases\n",
|
||||
"\n",
|
||||
"Dump the db to disk as json"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"id": "69b67091",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "6d1490c57118467fb95cdc111114f926",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
" 0%| | 0/96407 [00:00<?, ?it/s]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Wrote 74357 entries to en.json\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "daad07fbef564f06a7079d99a3291125",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
" 0%| | 0/77291 [00:00<?, ?it/s]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Wrote 77291 entries to de.json\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"EN_PATH = Path(\"./en.json\")\n",
|
||||
"DE_PATH = Path(\"./de.json\") \n",
|
||||
"\n",
|
||||
"# file, db tuples\n",
|
||||
"FILES_DBS = [\n",
|
||||
" (EN_PATH, en_db),\n",
|
||||
" (DE_PATH, de_db)\n",
|
||||
"] \n",
|
||||
"\n",
|
||||
"import json\n",
|
||||
"\n",
|
||||
"# entries to include:\n",
|
||||
"INCLUDED_SOURCES = {\n",
|
||||
" #\"cryptics\",\n",
|
||||
" \"wordnet\",\n",
|
||||
" \"de_wiktionary\"\n",
|
||||
"} \n",
|
||||
"\n",
|
||||
"for FILE_PATH, DB in FILES_DBS: \n",
|
||||
" with open(FILE_PATH, \"w\") as f:\n",
|
||||
" f.write(\"{\\n\")\n",
|
||||
" i = 0\n",
|
||||
" for key, value in tqdm( DB.entries.items()):\n",
|
||||
"\n",
|
||||
" if value.source not in INCLUDED_SOURCES:\n",
|
||||
" continue \n",
|
||||
" \n",
|
||||
" # dump json\n",
|
||||
" if i > 0:\n",
|
||||
" f.write(\",\\n\")\n",
|
||||
" d_value = value.model_dump()\n",
|
||||
" as_json = json.dumps(\n",
|
||||
" d_value, indent=4\n",
|
||||
" )\n",
|
||||
" as_json = \"\\n \".join(as_json.split(\"\\n\"))\n",
|
||||
" as_json = \" \\\"\" + key + \"\\\": \" + as_json\n",
|
||||
" f.write(as_json)\n",
|
||||
" i += 1\n",
|
||||
" \n",
|
||||
" f.write(\"\\n}\\n\")\n",
|
||||
" print(f\"Wrote {i} entries to {FILE_PATH}\" )\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "f91aee6f",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "multiplayer-crosswords-W02cfZ32-py3.12",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.12.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
1301860
data/en.json
1301860
data/en.json
File diff suppressed because it is too large
Load Diff
34
multiplayer_crosswords/data_utils.py
Normal file
34
multiplayer_crosswords/data_utils.py
Normal file
@ -0,0 +1,34 @@
|
||||
import os
|
||||
import requests
|
||||
import zipfile
|
||||
import time
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
def download_openthesaurus(cache_dir = None) -> Path | None:
|
||||
|
||||
if cache_dir is None:
|
||||
cache_dir = Path("./.cache")
|
||||
else:
|
||||
cache_dir = Path(cache_dir)
|
||||
|
||||
# Define paths
|
||||
OPENTHESAURUS_URL = "https://www.openthesaurus.de/export/OpenThesaurus-Textversion.zip"
|
||||
OPENTHESAURUS_ZIP = cache_dir / "OpenThesaurus-Textversion.zip"
|
||||
OPENTHESAURUS_TXT = cache_dir / "openthesaurus.txt"
|
||||
|
||||
if not OPENTHESAURUS_TXT.exists():
|
||||
if not OPENTHESAURUS_ZIP.exists():
|
||||
print("Downloading OpenThesaurus...")
|
||||
r = requests.get(OPENTHESAURUS_URL)
|
||||
with open(OPENTHESAURUS_ZIP, "wb") as f:
|
||||
f.write(r.content)
|
||||
|
||||
print("Extracting...")
|
||||
with zipfile.ZipFile(OPENTHESAURUS_ZIP, 'r') as zip_ref:
|
||||
zip_ref.extractall(cache_dir)
|
||||
|
||||
print(f"OpenThesaurus available at {OPENTHESAURUS_TXT}")
|
||||
|
||||
return OPENTHESAURUS_TXT
|
||||
|
||||
@ -294,39 +294,12 @@ class WebsocketCrosswordServer(object):
|
||||
if current_grid_letter.upper() == msg_letter.upper():
|
||||
# No change
|
||||
return
|
||||
crossword.place_letter(
|
||||
x=message.col,
|
||||
y=message.row,
|
||||
letter=msg_letter.lower(),
|
||||
)
|
||||
# now check if the word is solved
|
||||
# check if the letter already is solved, if so, ignore the update
|
||||
words_at_position = crossword.get_words_by_y_x_position(y=message.row, x=message.col)
|
||||
is_solved = any(cw.solved for cw in words_at_position)
|
||||
if is_solved:
|
||||
logger.info("Word solved at position (%d, %d) in session %s", message.col, message.row, session.session_id)
|
||||
messages = []
|
||||
for cw in words_at_position:
|
||||
if cw.solved:
|
||||
logger.info("Solved word: %s", cw.word)
|
||||
# go through each letter in the word and create a message
|
||||
for i in range(len(cw.word)):
|
||||
if cw.orientation == Orientation.HORIZONTAL:
|
||||
row = cw.start_y
|
||||
col = cw.start_x + i
|
||||
else:
|
||||
row = cw.start_y + i
|
||||
col = cw.start_x
|
||||
letter = cw.word[i].upper()
|
||||
msg = server_messages.LetterUpdateBroadcastServerMessage(
|
||||
session_id=session.session_id,
|
||||
row=row,
|
||||
col=col,
|
||||
letter=letter,
|
||||
is_solved=True
|
||||
)
|
||||
messages.append(msg)
|
||||
if any(cw.solved for cw in words_at_position):
|
||||
logger.info("Ignoring update to already solved position (%d, %d) in session %s", message.col, message.row, session.session_id)
|
||||
|
||||
else:
|
||||
# send letter again to client to ensure they have the correct letter
|
||||
msg = server_messages.LetterUpdateBroadcastServerMessage(
|
||||
session_id=session.session_id,
|
||||
row=message.row,
|
||||
@ -335,6 +308,50 @@ class WebsocketCrosswordServer(object):
|
||||
is_solved=is_solved
|
||||
)
|
||||
messages = [msg]
|
||||
|
||||
else:
|
||||
# also check if the position is
|
||||
crossword.place_letter(
|
||||
x=message.col,
|
||||
y=message.row,
|
||||
letter=msg_letter.lower(),
|
||||
)
|
||||
|
||||
words_at_position = crossword.get_words_by_y_x_position(y=message.row, x=message.col)
|
||||
is_solved = any(cw.solved for cw in words_at_position)
|
||||
if is_solved:
|
||||
logger.info("Word solved at position (%d, %d) in session %s", message.col, message.row, session.session_id)
|
||||
messages = []
|
||||
for cw in words_at_position:
|
||||
if cw.solved:
|
||||
logger.info("Solved word: %s", cw.word)
|
||||
# go through each letter in the word and create a message
|
||||
for i in range(len(cw.word)):
|
||||
if cw.orientation == Orientation.HORIZONTAL:
|
||||
row = cw.start_y
|
||||
col = cw.start_x + i
|
||||
else:
|
||||
row = cw.start_y + i
|
||||
col = cw.start_x
|
||||
letter = cw.word[i].upper()
|
||||
msg = server_messages.LetterUpdateBroadcastServerMessage(
|
||||
session_id=session.session_id,
|
||||
row=row,
|
||||
col=col,
|
||||
letter=letter,
|
||||
is_solved=True
|
||||
)
|
||||
messages.append(msg)
|
||||
|
||||
else:
|
||||
msg = server_messages.LetterUpdateBroadcastServerMessage(
|
||||
session_id=session.session_id,
|
||||
row=message.row,
|
||||
col=message.col,
|
||||
letter=msg_letter.upper(),
|
||||
is_solved=is_solved
|
||||
)
|
||||
messages = [msg]
|
||||
|
||||
# NOTE: we do this purposefully outside of the session lock to avoid
|
||||
# potential deadlocks if sending messages takes time.
|
||||
@ -342,9 +359,7 @@ class WebsocketCrosswordServer(object):
|
||||
for broadcast_message in messages:
|
||||
await session.send_message_to_all_clients(message=broadcast_message.model_dump())
|
||||
|
||||
|
||||
|
||||
|
||||
def __init__(self, host: str, port: int):
|
||||
self._host = host
|
||||
self._port = port
|
||||
|
||||
@ -59,9 +59,16 @@ def load_dictionary(p: str | Path) -> Dictionary:
|
||||
|
||||
if len(hints) > 0:
|
||||
|
||||
difficulty = 1.0
|
||||
word_freq = obj.get("word_frequency", -1)
|
||||
if word_freq >= 0:
|
||||
# Map 0-100 frequency to 1.0-0.0 difficulty
|
||||
# Higher frequency -> Lower difficulty
|
||||
difficulty = max(0.0, min(1.0, 1.0 - (word_freq / 100.0)))
|
||||
|
||||
w = Word(word=word,
|
||||
hints=hints,
|
||||
difficulty=1)
|
||||
difficulty=difficulty)
|
||||
dict_obj.add_word(w)
|
||||
load_dictionary._cache[cache_key] = dict_obj
|
||||
return dict_obj
|
||||
@ -70,4 +77,4 @@ def load_en_dictionary() -> Dictionary:
|
||||
return load_dictionary(Path(__file__).parent.parent / "data" / "en.json")
|
||||
|
||||
def load_de_dictionary() -> Dictionary:
|
||||
return load_dictionary(Path(__file__).parent.parent / "data" / "de.json")
|
||||
return load_dictionary(Path(__file__).parent.parent / "data" / "de.json")
|
||||
|
||||
@ -552,6 +552,36 @@ export class CrosswordGrid extends LitElement {
|
||||
this.requestUpdate();
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate completion ratio as percentage (0-100)
|
||||
*/
|
||||
_calculateCompletionRatio() {
|
||||
let totalNonWallCells = 0;
|
||||
let solvedCells = 0;
|
||||
|
||||
for (let r = 0; r < this.rows; r++) {
|
||||
for (let c = 0; c < this.cols; c++) {
|
||||
if (this._grid[r][c] !== '#') {
|
||||
totalNonWallCells++;
|
||||
const cellKey = `${r},${c}`;
|
||||
if (this._solvedCells.has(cellKey)) {
|
||||
solvedCells++;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (totalNonWallCells === 0) return 0;
|
||||
return Math.round((solvedCells / totalNonWallCells) * 100);
|
||||
}
|
||||
|
||||
/**
|
||||
* Get current completion ratio (public method)
|
||||
*/
|
||||
getCompletionRatio() {
|
||||
return this._calculateCompletionRatio();
|
||||
}
|
||||
|
||||
/**
|
||||
* Handle letter updates from server (broadcast messages from other players)
|
||||
*/
|
||||
@ -589,6 +619,14 @@ export class CrosswordGrid extends LitElement {
|
||||
|
||||
this.requestUpdate();
|
||||
|
||||
// Calculate and emit completion ratio update
|
||||
const completionRatio = this._calculateCompletionRatio();
|
||||
this.dispatchEvent(new CustomEvent('completion-ratio-changed', {
|
||||
detail: { completionRatio },
|
||||
bubbles: true,
|
||||
composed: true
|
||||
}));
|
||||
|
||||
// Trigger animation if solution word just completed
|
||||
if (this._isSolutionWordComplete()) {
|
||||
this.updateComplete.then(() => {
|
||||
|
||||
@ -73,6 +73,9 @@
|
||||
console.log('Subscribing to session:', sessionId);
|
||||
currentSessionId = sessionId;
|
||||
|
||||
// Update URL with session ID
|
||||
updateUrlWithSessionId(sessionId);
|
||||
|
||||
// Show game UI immediately
|
||||
menu.style.display = 'none';
|
||||
gridContainer.style.display = 'block';
|
||||
@ -134,7 +137,7 @@
|
||||
// Create container with close button
|
||||
gridContainer.innerHTML = `
|
||||
<div class="game-header">
|
||||
<h2 style="text-align: center;">Crossword</h2>
|
||||
<h2 id="crossword-title" style="text-align: center;">Crossword (0%)</h2>
|
||||
<div class="header-buttons">
|
||||
<button class="share-game-btn" aria-label="Share game">
|
||||
<span style="padding-right: 0.5rem;">Share Session</span>
|
||||
@ -284,6 +287,36 @@
|
||||
clueArea._updateSolvedClues();
|
||||
clueArea.requestUpdate();
|
||||
});
|
||||
|
||||
// Listen for completion ratio updates
|
||||
gridElement.addEventListener('completion-ratio-changed', (e) => {
|
||||
const { completionRatio } = e.detail;
|
||||
updateHeaderTitle(completionRatio);
|
||||
|
||||
// Update session storage with completion ratio
|
||||
if (window.updateSessionCompletionRatio) {
|
||||
window.updateSessionCompletionRatio(currentSessionId, completionRatio);
|
||||
}
|
||||
});
|
||||
|
||||
// Function to update header title with completion percentage
|
||||
function updateHeaderTitle(completionRatio) {
|
||||
const titleElement = document.getElementById('crossword-title');
|
||||
if (titleElement) {
|
||||
titleElement.textContent = `Crossword (${completionRatio}%)`;
|
||||
}
|
||||
}
|
||||
|
||||
// Calculate initial completion ratio after grid is fully set up
|
||||
setTimeout(() => {
|
||||
const initialRatio = gridElement.getCompletionRatio();
|
||||
updateHeaderTitle(initialRatio);
|
||||
|
||||
// Update session storage with initial completion ratio
|
||||
if (window.updateSessionCompletionRatio) {
|
||||
window.updateSessionCompletionRatio(currentSessionId, initialRatio);
|
||||
}
|
||||
}, 100);
|
||||
|
||||
// Close button handler
|
||||
closeBtn.addEventListener('click', closeGame);
|
||||
|
||||
@ -37,9 +37,14 @@ export class CrosswordMenu extends LitElement {
|
||||
wsManager.setNotificationManager(notificationManager);
|
||||
// Listen for session creation/subscription events
|
||||
wsManager.onMessage('session_created', (msg) => this._onSessionCreated(msg));
|
||||
wsManager.onMessage('session_subscribed', (msg) => this._onSessionSubscribed(msg));
|
||||
wsManager.onMessage('session_not_found', (msg) => this._onSessionNotFound(msg));
|
||||
wsManager.onMessage('full_session_state', (msg) => this._onSessionJoined(msg));
|
||||
wsManager.onMessage('error', (msg) => this._onSessionError(msg));
|
||||
this._initializeConnection();
|
||||
|
||||
// Make update function available globally
|
||||
window.updateSessionCompletionRatio = (sessionId, completionRatio) => {
|
||||
this._updateSessionCompletionRatio(sessionId, completionRatio);
|
||||
};
|
||||
}
|
||||
|
||||
disconnectedCallback() {
|
||||
@ -48,8 +53,8 @@ export class CrosswordMenu extends LitElement {
|
||||
wsManager.offMessage('available_session_properties', this._handleSessionProperties);
|
||||
wsManager.offMessage('error', this._handleError);
|
||||
wsManager.offMessage('session_created', this._onSessionCreated);
|
||||
wsManager.offMessage('session_subscribed', this._onSessionSubscribed);
|
||||
wsManager.offMessage('session_not_found', this._onSessionNotFound);
|
||||
wsManager.offMessage('full_session_state', this._onSessionJoined);
|
||||
wsManager.offMessage('error', this._onSessionError);
|
||||
}
|
||||
|
||||
_initializeConnection() {
|
||||
@ -116,7 +121,7 @@ export class CrosswordMenu extends LitElement {
|
||||
|
||||
this._loading = false;
|
||||
this._error = null;
|
||||
notificationManager.success('Game options loaded');
|
||||
notificationManager.success('Connected to Crossword server');
|
||||
this.requestUpdate();
|
||||
}
|
||||
|
||||
@ -165,14 +170,26 @@ export class CrosswordMenu extends LitElement {
|
||||
|
||||
// Session storage management
|
||||
_initializeSessionStorage() {
|
||||
const savedSessionsData = this._getCookie('savedSessions');
|
||||
if (savedSessionsData) {
|
||||
try {
|
||||
this._savedSessions = JSON.parse(savedSessionsData);
|
||||
this._saveSessionsEnabled = true;
|
||||
} catch (e) {
|
||||
console.warn('Failed to parse saved sessions cookie:', e);
|
||||
this._clearAllCookies();
|
||||
// Check if the save setting is enabled
|
||||
const saveSettingEnabled = this._getCookie('saveSessionsEnabled');
|
||||
if (saveSettingEnabled === 'true') {
|
||||
this._saveSessionsEnabled = true;
|
||||
|
||||
// Load saved sessions if the setting is enabled
|
||||
const savedSessionsData = this._getCookie('savedSessions');
|
||||
if (savedSessionsData) {
|
||||
try {
|
||||
this._savedSessions = JSON.parse(savedSessionsData);
|
||||
|
||||
// Ensure all sessions have a completionRatio field (for backward compatibility)
|
||||
this._savedSessions = this._savedSessions.map(session => ({
|
||||
...session,
|
||||
completionRatio: session.completionRatio || 0
|
||||
}));
|
||||
} catch (e) {
|
||||
console.warn('Failed to parse saved sessions cookie:', e);
|
||||
this._clearAllCookies();
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -196,14 +213,25 @@ export class CrosswordMenu extends LitElement {
|
||||
|
||||
_clearAllCookies() {
|
||||
this._deleteCookie('savedSessions');
|
||||
this._deleteCookie('saveSessionsEnabled');
|
||||
this._savedSessions = [];
|
||||
this._saveSessionsEnabled = false;
|
||||
this.requestUpdate();
|
||||
}
|
||||
|
||||
_clearSessionsOnly() {
|
||||
this._deleteCookie('savedSessions');
|
||||
this._savedSessions = [];
|
||||
this.requestUpdate();
|
||||
}
|
||||
|
||||
_toggleSessionSaving() {
|
||||
this._saveSessionsEnabled = !this._saveSessionsEnabled;
|
||||
if (!this._saveSessionsEnabled) {
|
||||
if (this._saveSessionsEnabled) {
|
||||
// Save the setting preference when enabled
|
||||
this._setCookie('saveSessionsEnabled', 'true');
|
||||
} else {
|
||||
// Clear everything when disabled
|
||||
this._clearAllCookies();
|
||||
}
|
||||
this.requestUpdate();
|
||||
@ -219,6 +247,7 @@ export class CrosswordMenu extends LitElement {
|
||||
this._savedSessions.unshift({
|
||||
id: sessionId,
|
||||
timestamp: Date.now(),
|
||||
completionRatio: 0, // Default completion ratio
|
||||
...sessionInfo
|
||||
});
|
||||
|
||||
@ -230,10 +259,25 @@ export class CrosswordMenu extends LitElement {
|
||||
this.requestUpdate();
|
||||
}
|
||||
|
||||
_updateSessionCompletionRatio(sessionId, completionRatio) {
|
||||
if (!this._saveSessionsEnabled) return;
|
||||
|
||||
// Find and update the session
|
||||
const sessionIndex = this._savedSessions.findIndex(s => s.id === sessionId);
|
||||
if (sessionIndex !== -1) {
|
||||
this._savedSessions[sessionIndex].completionRatio = completionRatio;
|
||||
this._savedSessions[sessionIndex].timestamp = Date.now(); // Update timestamp
|
||||
|
||||
// Save updated sessions to cookie
|
||||
this._setCookie('savedSessions', JSON.stringify(this._savedSessions));
|
||||
this.requestUpdate();
|
||||
}
|
||||
}
|
||||
|
||||
_removeSession(sessionId) {
|
||||
this._savedSessions = this._savedSessions.filter(s => s.id !== sessionId);
|
||||
if (this._savedSessions.length === 0) {
|
||||
this._clearAllCookies();
|
||||
this._clearSessionsOnly();
|
||||
} else {
|
||||
this._setCookie('savedSessions', JSON.stringify(this._savedSessions));
|
||||
}
|
||||
@ -250,7 +294,7 @@ export class CrosswordMenu extends LitElement {
|
||||
}
|
||||
}
|
||||
|
||||
_onSessionSubscribed(message) {
|
||||
_onSessionJoined(message) {
|
||||
if (message.session_id) {
|
||||
this._saveSession(message.session_id, {
|
||||
type: 'joined'
|
||||
@ -258,10 +302,17 @@ export class CrosswordMenu extends LitElement {
|
||||
}
|
||||
}
|
||||
|
||||
_onSessionNotFound(message) {
|
||||
if (message.session_id) {
|
||||
this._removeSession(message.session_id);
|
||||
notificationManager.warning(`Session ${message.session_id.substring(0, 8)}... no longer exists and was removed from saved sessions`);
|
||||
_onSessionError(message) {
|
||||
// Check if it's a session not found error
|
||||
if (message.error_message && message.error_message.includes('session') && message.error_message.includes('not found')) {
|
||||
// Try to extract session ID from error message or use current session ID
|
||||
// This is a fallback - we might not always have the exact session ID in error messages
|
||||
const sessionIdMatch = message.error_message.match(/session\s+([a-f0-9-]+)/i);
|
||||
if (sessionIdMatch) {
|
||||
const sessionId = sessionIdMatch[1];
|
||||
this._removeSession(sessionId);
|
||||
notificationManager.warning(`Session ${sessionId.substring(0, 8)}... no longer exists and was removed from saved sessions`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -284,7 +335,7 @@ export class CrosswordMenu extends LitElement {
|
||||
}
|
||||
|
||||
_clearSavedSessions() {
|
||||
this._clearAllCookies();
|
||||
this._clearSessionsOnly();
|
||||
notificationManager.info('All saved sessions cleared');
|
||||
}
|
||||
|
||||
@ -366,6 +417,7 @@ export class CrosswordMenu extends LitElement {
|
||||
<span class="session-id">${session.id.substring(0, 8)}...</span>
|
||||
<span class="session-time">${this._formatTimestamp(session.timestamp)}</span>
|
||||
${session.language ? html`<span class="session-lang">${session.language.toUpperCase()}</span>` : ''}
|
||||
<span class="session-completion">${session.completionRatio || 0}% solved</span>
|
||||
</div>
|
||||
<div class="session-actions">
|
||||
<button class="reconnect-btn" @click="${() => this._reconnectToSession(session.id)}">Rejoin</button>
|
||||
|
||||
@ -338,6 +338,32 @@ crossword-grid { display: block; margin: 0 auto; }
|
||||
inset 1px 1px 2px rgba(255,255,255,0.3);
|
||||
}
|
||||
|
||||
/* Solved cells that are also highlighted - keep green background but yellow border */
|
||||
.cell.solved.mode-highlighted {
|
||||
background:
|
||||
repeating-linear-gradient(87deg, transparent, transparent 3px, rgba(100,200,100,.1) 3px, rgba(100,200,100,.1) 5px),
|
||||
repeating-linear-gradient(22deg, transparent, transparent 4px, rgba(100,200,100,.08) 4px, rgba(100,200,100,.08) 6px),
|
||||
repeating-linear-gradient(59deg, transparent, transparent 3px, rgba(100,200,100,.06) 3px, rgba(100,200,100,.06) 5px),
|
||||
repeating-linear-gradient(-11deg, transparent, transparent 4px, rgba(100,200,100,.04) 4px, rgba(100,200,100,.04) 6px),
|
||||
repeating-radial-gradient(circle at 12% 18%, rgba(100,200,100,.06) 1px, transparent 1px),
|
||||
repeating-radial-gradient(circle at 67% 77%, rgba(100,200,100,.07) 1px, transparent 1px),
|
||||
repeating-radial-gradient(circle at 34% 51%, rgba(100,200,100,.03) 1.5px, transparent 1.5px),
|
||||
repeating-radial-gradient(circle at 23% 67%, rgba(100,200,100,.015) 0.8px, transparent 0.8px),
|
||||
repeating-radial-gradient(circle at 78% 22%, rgba(255,255,255,.03) 0.8px, transparent 0.8px),
|
||||
radial-gradient(ellipse 800px 600px at 30% 40%, rgba(255,255,255,.2) 0%, transparent 40%),
|
||||
radial-gradient(circle at 0% 0%, rgba(100,200,100,.015) 0%, transparent 70%),
|
||||
radial-gradient(circle at 100% 100%, rgba(100,200,100,.015) 0%, transparent 70%),
|
||||
linear-gradient(135deg, #d4f4d4 0%, #c8ead4 100%);
|
||||
box-shadow:
|
||||
inset 0 1px 2px rgba(255,255,255,0.8),
|
||||
inset 0 0 0 1px #c8e6f0,
|
||||
0 0.5px 1px rgba(0,0,0,0.05),
|
||||
inset -1px -1px 2px rgba(100,200,100,0.08),
|
||||
inset 1px 1px 2px rgba(255,255,255,0.3);
|
||||
border-color: #a8d4e8;
|
||||
}
|
||||
|
||||
|
||||
@keyframes cell-bounce {
|
||||
0%, 100% {
|
||||
transform: scale(1);
|
||||
@ -382,6 +408,32 @@ crossword-grid { display: block; margin: 0 auto; }
|
||||
inset 1px 1px 2px rgba(255,255,255,0.5);
|
||||
}
|
||||
|
||||
/* Solved cells that are also selected - keep green background but yellow border */
|
||||
.cell.solved.selected {
|
||||
outline: none;
|
||||
background:
|
||||
repeating-linear-gradient(87deg, transparent, transparent 3px, rgba(100,200,100,.1) 3px, rgba(100,200,100,.1) 5px),
|
||||
repeating-linear-gradient(22deg, transparent, transparent 4px, rgba(100,200,100,.08) 4px, rgba(100,200,100,.08) 6px),
|
||||
repeating-linear-gradient(59deg, transparent, transparent 3px, rgba(100,200,100,.06) 3px, rgba(100,200,100,.06) 5px),
|
||||
repeating-linear-gradient(-11deg, transparent, transparent 4px, rgba(100,200,100,.04) 4px, rgba(100,200,100,.04) 6px),
|
||||
repeating-radial-gradient(circle at 12% 18%, rgba(100,200,100,.06) 1px, transparent 1px),
|
||||
repeating-radial-gradient(circle at 67% 77%, rgba(100,200,100,.07) 1px, transparent 1px),
|
||||
repeating-radial-gradient(circle at 34% 51%, rgba(100,200,100,.03) 1.5px, transparent 1.5px),
|
||||
repeating-radial-gradient(circle at 23% 67%, rgba(100,200,100,.015) 0.8px, transparent 0.8px),
|
||||
repeating-radial-gradient(circle at 78% 22%, rgba(255,255,255,.03) 0.8px, transparent 0.8px),
|
||||
radial-gradient(ellipse 800px 600px at 30% 40%, rgba(255,255,255,.2) 0%, transparent 40%),
|
||||
radial-gradient(circle at 0% 0%, rgba(100,200,100,.015) 0%, transparent 70%),
|
||||
radial-gradient(circle at 100% 100%, rgba(100,200,100,.015) 0%, transparent 70%),
|
||||
linear-gradient(135deg, #d4f4d4 0%, #c8ead4 100%) !important;
|
||||
border-color: var(--ink-dark) !important;
|
||||
box-shadow:
|
||||
inset 0 1px 2px rgba(255,255,255,0.8),
|
||||
inset 0 0 0 1.5px #ffc107,
|
||||
0 0 8px rgba(255,193,7,0.25),
|
||||
inset -1px -1px 2px rgba(100,200,100,0.08),
|
||||
inset 1px 1px 2px rgba(255,255,255,0.3) !important;
|
||||
}
|
||||
|
||||
.cell.selected.mode-highlighted {
|
||||
background:
|
||||
repeating-linear-gradient(87deg, transparent, transparent 3px, rgba(200,150,0,.15) 3px, rgba(200,150,0,.15) 5px),
|
||||
@ -858,7 +910,7 @@ crossword-menu {
|
||||
|
||||
.saved-sessions h3 {
|
||||
margin: 0 0 1rem 0;
|
||||
color: #5c6fc3;
|
||||
color: #232842;
|
||||
font-size: 1.1rem;
|
||||
}
|
||||
|
||||
@ -891,11 +943,16 @@ crossword-menu {
|
||||
color: #222c55;
|
||||
}
|
||||
|
||||
.session-time, .session-lang {
|
||||
.session-time, .session-lang, .session-completion {
|
||||
font-size: 0.8rem;
|
||||
color: rgba(0, 0, 0, 0.7);
|
||||
}
|
||||
|
||||
.session-completion {
|
||||
font-weight: 600;
|
||||
color: #4a7a9e;
|
||||
}
|
||||
|
||||
.session-actions {
|
||||
display: flex;
|
||||
gap: 0.5rem;
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "multiplayer-crosswords"
|
||||
version = "0.1.0"
|
||||
version = "0.2.0"
|
||||
description = ""
|
||||
authors = [
|
||||
{name="Jonas Weinz"}
|
||||
@ -17,7 +17,7 @@ dependencies = [
|
||||
]
|
||||
[tool.poetry]
|
||||
name = "multiplayer-crosswords"
|
||||
version = "0.1.0"
|
||||
version = "0.2.0"
|
||||
description = ""
|
||||
authors = [
|
||||
"Jonas Weinz"
|
||||
|
||||
Reference in New Issue
Block a user