init commit

.idea/.gitignore

@@ -0,0 +1,8 @@
+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml

.idea/Editor.iml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="jdk" jdkName="Python 3.13" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/inspectionProfiles/profiles_settings.xml

@@ -0,0 +1,6 @@
+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/misc.xml

@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Black">
+    <option name="sdkName" value="Python 3.13" />
+  </component>
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.13" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/Editor.iml" filepath="$PROJECT_DIR$/.idea/Editor.iml" />
+    </modules>
+  </component>
+</project>

Database/database.py

@@ -0,0 +1,82 @@
+import sqlite3
+import json
+import os
+from fastapi import FastAPI, Body
+from fastapi.middleware.cors import CORSMiddleware
+from sentence_transformers import SentenceTransformer
+import uvicorn
+
+app = FastAPI()
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+DB_FILE = os.path.join(BASE_DIR, "archivium.db")
+MODEL_DIR = os.path.join(BASE_DIR, "local_model_miniLM")
+
+if not os.path.exists(MODEL_DIR):
+    model = SentenceTransformer('all-MiniLM-L6-v2')
+    model.save(MODEL_DIR)
+else:
+    model = SentenceTransformer(MODEL_DIR)
+
+def init_db():
+    conn = sqlite3.connect(DB_FILE)
+    conn.execute("""
+                 CREATE TABLE IF NOT EXISTS documents
+                 (
+                     id INTEGER PRIMARY KEY AUTOINCREMENT,
+                     title TEXT UNIQUE,
+                     content TEXT,
+                     embedding TEXT
+                 )
+                 """)
+    conn.commit()
+    conn.close()
+
+init_db()
+
+@app.post("/save-document")
+async def save_document(data: dict = Body(...)):
+    title = data.get("title")
+    content = data.get("content")
+
+    text_to_vector = f"{title} {str(content)}"
+    vector = model.encode(text_to_vector).tolist()
+
+    conn = sqlite3.connect(DB_FILE)
+    try:
+        conn.execute("""
+                     INSERT INTO documents (title, content, embedding)
+                     VALUES (?, ?, ?) ON CONFLICT(title) DO
+                     UPDATE SET
+                         content=excluded.content,
+                         embedding=excluded.embedding
+                     """, (title, json.dumps(content), json.dumps(vector)))
+        conn.commit()
+        return {"status": "success"}
+    except Exception as e:
+        return {"status": "error", "message": str(e)}
+    finally:
+        conn.close()
+
+@app.get("/load-document")
+async def load_document(title: str = None):
+    conn = sqlite3.connect(DB_FILE)
+    if title:
+        row = conn.execute("SELECT title, content FROM documents WHERE title = ?", (title,)).fetchone()
+    else:
+        row = conn.execute("SELECT title, content FROM documents ORDER BY id DESC LIMIT 1").fetchone()
+    conn.close()
+
+    if row:
+        return {"title": row[0], "content": json.loads(row[1])}
+    return {"error": "Nie znaleziono dokumentu"}
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="127.0.0.1", port=8000)

Database/local_model_miniLM/1_Pooling/config.json

@@ -0,0 +1,10 @@
+{
+    "word_embedding_dimension": 384,
+    "pooling_mode_cls_token": false,
+    "pooling_mode_mean_tokens": true,
+    "pooling_mode_max_tokens": false,
+    "pooling_mode_mean_sqrt_len_tokens": false,
+    "pooling_mode_weightedmean_tokens": false,
+    "pooling_mode_lasttoken": false,
+    "include_prompt": true
+}

Database/local_model_miniLM/README.md

@@ -0,0 +1,173 @@
+---
+language: en
+license: apache-2.0
+library_name: sentence-transformers
+tags:
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+- transformers
+datasets:
+- s2orc
+- flax-sentence-embeddings/stackexchange_xml
+- ms_marco
+- gooaq
+- yahoo_answers_topics
+- code_search_net
+- search_qa
+- eli5
+- snli
+- multi_nli
+- wikihow
+- natural_questions
+- trivia_qa
+- embedding-data/sentence-compression
+- embedding-data/flickr30k-captions
+- embedding-data/altlex
+- embedding-data/simple-wiki
+- embedding-data/QQP
+- embedding-data/SPECTER
+- embedding-data/PAQ_pairs
+- embedding-data/WikiAnswers
+pipeline_tag: sentence-similarity
+---
+
+
+# all-MiniLM-L6-v2
+This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+
+## Usage (Sentence-Transformers)
+Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
+
+```
+pip install -U sentence-transformers
+```
+
+Then you can use the model like this:
+```python
+from sentence_transformers import SentenceTransformer
+sentences = ["This is an example sentence", "Each sentence is converted"]
+
+model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
+embeddings = model.encode(sentences)
+print(embeddings)
+```
+
+## Usage (HuggingFace Transformers)
+Without [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.
+
+```python
+from transformers import AutoTokenizer, AutoModel
+import torch
+import torch.nn.functional as F
+
+#Mean Pooling - Take attention mask into account for correct averaging
+def mean_pooling(model_output, attention_mask):
+    token_embeddings = model_output[0] #First element of model_output contains all token embeddings
+    input_mask_expanded = attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
+    return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(input_mask_expanded.sum(1), min=1e-9)
+
+
+# Sentences we want sentence embeddings for
+sentences = ['This is an example sentence', 'Each sentence is converted']
+
+# Load model from HuggingFace Hub
+tokenizer = AutoTokenizer.from_pretrained('sentence-transformers/all-MiniLM-L6-v2')
+model = AutoModel.from_pretrained('sentence-transformers/all-MiniLM-L6-v2')
+
+# Tokenize sentences
+encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
+
+# Compute token embeddings
+with torch.no_grad():
+    model_output = model(**encoded_input)
+
+# Perform pooling
+sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
+
+# Normalize embeddings
+sentence_embeddings = F.normalize(sentence_embeddings, p=2, dim=1)
+
+print("Sentence embeddings:")
+print(sentence_embeddings)
+```
+
+------
+
+## Background
+
+The project aims to train sentence embedding models on very large sentence level datasets using a self-supervised 
+contrastive learning objective. We used the pretrained [`nreimers/MiniLM-L6-H384-uncased`](https://huggingface.co/nreimers/MiniLM-L6-H384-uncased) model and fine-tuned in on a 
+1B sentence pairs dataset. We use a contrastive learning objective: given a sentence from the pair, the model should predict which out of a set of randomly sampled other sentences, was actually paired with it in our dataset.
+
+We developed this model during the 
+[Community week using JAX/Flax for NLP & CV](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104), 
+organized by Hugging Face. We developed this model as part of the project:
+[Train the Best Sentence Embedding Model Ever with 1B Training Pairs](https://discuss.huggingface.co/t/train-the-best-sentence-embedding-model-ever-with-1b-training-pairs/7354). We benefited from efficient hardware infrastructure to run the project: 7 TPUs v3-8, as well as intervention from Googles Flax, JAX, and Cloud team member about efficient deep learning frameworks.
+
+## Intended uses
+
+Our model is intended to be used as a sentence and short paragraph encoder. Given an input text, it outputs a vector which captures 
+the semantic information. The sentence vector may be used for information retrieval, clustering or sentence similarity tasks.
+
+By default, input text longer than 256 word pieces is truncated.
+
+
+## Training procedure
+
+### Pre-training 
+
+We use the pretrained [`nreimers/MiniLM-L6-H384-uncased`](https://huggingface.co/nreimers/MiniLM-L6-H384-uncased) model. Please refer to the model card for more detailed information about the pre-training procedure.
+
+### Fine-tuning 
+
+We fine-tune the model using a contrastive objective. Formally, we compute the cosine similarity from each possible sentence pairs from the batch.
+We then apply the cross entropy loss by comparing with true pairs.
+
+#### Hyper parameters
+
+We trained our model on a TPU v3-8. We train the model during 100k steps using a batch size of 1024 (128 per TPU core).
+We use a learning rate warm up of 500. The sequence length was limited to 128 tokens. We used the AdamW optimizer with
+a 2e-5 learning rate. The full training script is accessible in this current repository: `train_script.py`.
+
+#### Training data
+
+We use the concatenation from multiple datasets to fine-tune our model. The total number of sentence pairs is above 1 billion sentences.
+We sampled each dataset given a weighted probability which configuration is detailed in the `data_config.json` file.
+
+
+| Dataset                                                  | Paper                                    | Number of training tuples  |
+|--------------------------------------------------------|:----------------------------------------:|:--------------------------:|
+| [Reddit comments (2015-2018)](https://github.com/PolyAI-LDN/conversational-datasets/tree/master/reddit) | [paper](https://arxiv.org/abs/1904.06472) | 726,484,430 |
+| [S2ORC](https://github.com/allenai/s2orc) Citation pairs (Abstracts) | [paper](https://aclanthology.org/2020.acl-main.447/) | 116,288,806 |
+| [WikiAnswers](https://github.com/afader/oqa#wikianswers-corpus) Duplicate question pairs | [paper](https://doi.org/10.1145/2623330.2623677) | 77,427,422 |
+| [PAQ](https://github.com/facebookresearch/PAQ) (Question, Answer) pairs | [paper](https://arxiv.org/abs/2102.07033) | 64,371,441 |
+| [S2ORC](https://github.com/allenai/s2orc) Citation pairs (Titles) | [paper](https://aclanthology.org/2020.acl-main.447/) | 52,603,982 |
+| [S2ORC](https://github.com/allenai/s2orc) (Title, Abstract) | [paper](https://aclanthology.org/2020.acl-main.447/) | 41,769,185 |
+| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) (Title, Body) pairs  | - | 25,316,456 |
+| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) (Title+Body, Answer) pairs  | - | 21,396,559 |
+| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) (Title, Answer) pairs  | - | 21,396,559 |
+| [MS MARCO](https://microsoft.github.io/msmarco/) triplets | [paper](https://doi.org/10.1145/3404835.3462804) | 9,144,553 |
+| [GOOAQ: Open Question Answering with Diverse Answer Types](https://github.com/allenai/gooaq) | [paper](https://arxiv.org/pdf/2104.08727.pdf) | 3,012,496 |
+| [Yahoo Answers](https://www.kaggle.com/soumikrakshit/yahoo-answers-dataset) (Title, Answer) | [paper](https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html) | 1,198,260 |
+| [Code Search](https://huggingface.co/datasets/code_search_net) | - | 1,151,414 |
+| [COCO](https://cocodataset.org/#home) Image captions | [paper](https://link.springer.com/chapter/10.1007%2F978-3-319-10602-1_48) | 828,395|
+| [SPECTER](https://github.com/allenai/specter) citation triplets | [paper](https://doi.org/10.18653/v1/2020.acl-main.207) | 684,100 |
+| [Yahoo Answers](https://www.kaggle.com/soumikrakshit/yahoo-answers-dataset) (Question, Answer) | [paper](https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html) | 681,164 |
+| [Yahoo Answers](https://www.kaggle.com/soumikrakshit/yahoo-answers-dataset) (Title, Question) | [paper](https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html) | 659,896 |
+| [SearchQA](https://huggingface.co/datasets/search_qa) | [paper](https://arxiv.org/abs/1704.05179) | 582,261 |
+| [Eli5](https://huggingface.co/datasets/eli5) | [paper](https://doi.org/10.18653/v1/p19-1346) | 325,475 |
+| [Flickr 30k](https://shannon.cs.illinois.edu/DenotationGraph/) | [paper](https://transacl.org/ojs/index.php/tacl/article/view/229/33) | 317,695 |
+| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) Duplicate questions (titles) | | 304,525 |
+| AllNLI ([SNLI](https://nlp.stanford.edu/projects/snli/) and [MultiNLI](https://cims.nyu.edu/~sbowman/multinli/) | [paper SNLI](https://doi.org/10.18653/v1/d15-1075), [paper MultiNLI](https://doi.org/10.18653/v1/n18-1101) | 277,230 | 
+| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) Duplicate questions (bodies) | | 250,519 |
+| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) Duplicate questions (titles+bodies) | | 250,460 |
+| [Sentence Compression](https://github.com/google-research-datasets/sentence-compression) | [paper](https://www.aclweb.org/anthology/D13-1155/) | 180,000 |
+| [Wikihow](https://github.com/pvl/wikihow_pairs_dataset) | [paper](https://arxiv.org/abs/1810.09305) | 128,542 |
+| [Altlex](https://github.com/chridey/altlex/) | [paper](https://aclanthology.org/P16-1135.pdf) | 112,696 |
+| [Quora Question Triplets](https://quoradata.quora.com/First-Quora-Dataset-Release-Question-Pairs) | - | 103,663 |
+| [Simple Wikipedia](https://cs.pomona.edu/~dkauchak/simplification/) | [paper](https://www.aclweb.org/anthology/P11-2117/) | 102,225 |
+| [Natural Questions (NQ)](https://ai.google.com/research/NaturalQuestions) | [paper](https://transacl.org/ojs/index.php/tacl/article/view/1455) | 100,231 |
+| [SQuAD2.0](https://rajpurkar.github.io/SQuAD-explorer/) | [paper](https://aclanthology.org/P18-2124.pdf) | 87,599 |
+| [TriviaQA](https://huggingface.co/datasets/trivia_qa) | - | 73,346 |
+| **Total** | | **1,170,060,424** |

Database/local_model_miniLM/config.json

@@ -0,0 +1,30 @@
+{
+  "add_cross_attention": false,
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": null,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "is_decoder": false,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.3.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

Database/local_model_miniLM/config_sentence_transformers.json

@@ -0,0 +1,14 @@
+{
+  "__version__": {
+    "sentence_transformers": "5.3.0",
+    "transformers": "5.3.0",
+    "pytorch": "2.10.0+cpu"
+  },
+  "model_type": "SentenceTransformer",
+  "prompts": {
+    "query": "",
+    "document": ""
+  },
+  "default_prompt_name": null,
+  "similarity_fn_name": "cosine"
+}

Database/local_model_miniLM/modules.json

@@ -0,0 +1,20 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  },
+  {
+    "idx": 2,
+    "name": "2",
+    "path": "2_Normalize",
+    "type": "sentence_transformers.models.Normalize"
+  }
+]

Database/local_model_miniLM/sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+    "max_seq_length": 256,
+    "do_lower_case": false
+}

Database/local_model_miniLM/tokenizer_config.json

@@ -0,0 +1,23 @@
+{
+  "backend": "tokenizers",
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "is_local": false,
+  "mask_token": "[MASK]",
+  "max_length": 128,
+  "model_max_length": 256,
+  "never_split": null,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}

TextEditor/.gitignore

@@ -0,0 +1,23 @@
+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/node_modules
+/.pnp
+.pnp.js
+
+# testing
+/coverage
+
+# production
+/build
+
+# misc
+.DS_Store
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*

TextEditor/README.md

@@ -0,0 +1,70 @@
+# Getting Started with Create React App
+
+This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
+
+## Available Scripts
+
+In the project directory, you can run:
+
+### `npm start`
+
+Runs the app in the development mode.\
+Open [http://localhost:3000](http://localhost:3000) to view it in your browser.
+
+The page will reload when you make changes.\
+You may also see any lint errors in the console.
+
+### `npm test`
+
+Launches the test runner in the interactive watch mode.\
+See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
+
+### `npm run build`
+
+Builds the app for production to the `build` folder.\
+It correctly bundles React in production mode and optimizes the build for the best performance.
+
+The build is minified and the filenames include the hashes.\
+Your app is ready to be deployed!
+
+See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
+
+### `npm run eject`
+
+**Note: this is a one-way operation. Once you `eject`, you can't go back!**
+
+If you aren't satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project.
+
+Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own.
+
+You don't have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it.
+
+## Learn More
+
+You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
+
+To learn React, check out the [React documentation](https://reactjs.org/).
+
+### Code Splitting
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/code-splitting](https://facebook.github.io/create-react-app/docs/code-splitting)
+
+### Analyzing the Bundle Size
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size](https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size)
+
+### Making a Progressive Web App
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app](https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app)
+
+### Advanced Configuration
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/advanced-configuration](https://facebook.github.io/create-react-app/docs/advanced-configuration)
+
+### Deployment
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/deployment](https://facebook.github.io/create-react-app/docs/deployment)
+
+### `npm run build` fails to minify
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify](https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify)

TextEditor/package.json

@@ -0,0 +1,40 @@
+{
+  "name": "text-editor",
+  "version": "0.0.1",
+  "private": true,
+  "dependencies": {
+    "@tiptap/extension-character-count": "^3.20.1",
+    "@tiptap/extension-image": "^3.20.1",
+    "@tiptap/extension-link": "^3.20.1",
+    "@tiptap/extension-mathematics": "^3.20.1",
+    "@tiptap/extension-table": "^3.20.1",
+    "@tiptap/extension-table-cell": "^3.20.1",
+    "@tiptap/extension-table-header": "^3.20.1",
+    "@tiptap/extension-table-row": "^3.20.1",
+    "@tiptap/extension-underline": "^3.20.1",
+    "@tiptap/react": "^3.20.1",
+    "@tiptap/starter-kit": "^3.20.1",
+    "katex": "^0.16.38",
+    "mathlive": "^0.109.0",
+    "react": "^18.2.0",
+    "react-dom": "^18.2.0",
+    "react-scripts": "5.0.1",
+    "web-vitals": "^5.1.0"
+  },
+  "scripts": {
+    "start": "react-scripts start",
+    "build": "react-scripts build"
+  },
+  "browserslist": {
+    "production": [
+      ">0.2%",
+      "not dead",
+      "not op_mini all"
+    ],
+    "development": [
+      "last 1 chrome version",
+      "last 1 firefox version",
+      "last 1 safari version"
+    ]
+  }
+}

TextEditor/public/index.html

@@ -0,0 +1,43 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <link rel="icon" href="%PUBLIC_URL%/favicon.ico" />
+    <meta name="viewport" content="width=device-width, initial-scale=1" />
+    <meta name="theme-color" content="#000000" />
+    <meta
+      name="description"
+      content="Web site created using create-react-app"
+    />
+    <link rel="apple-touch-icon" href="%PUBLIC_URL%/logo192.png" />
+    <!--
+      manifest.json provides metadata used when your web app is installed on a
+      user's mobile device or desktop. See https://developers.google.com/web/fundamentals/web-app-manifest/
+    -->
+    <link rel="manifest" href="%PUBLIC_URL%/manifest.json" />
+    <!--
+      Notice the use of %PUBLIC_URL% in the tags above.
+      It will be replaced with the URL of the `public` folder during the build.
+      Only files inside the `public` folder can be referenced from the HTML.
+
+      Unlike "/favicon.ico" or "favicon.ico", "%PUBLIC_URL%/favicon.ico" will
+      work correctly both with client-side routing and a non-root public URL.
+      Learn how to configure a non-root public URL by running `npm run build`.
+    -->
+    <title>React App</title>
+  </head>
+  <body>
+    <noscript>You need to enable JavaScript to run this app.</noscript>
+    <div id="root"></div>
+    <!--
+      This HTML file is a template.
+      If you open it directly in the browser, you will see an empty page.
+
+      You can add webfonts, meta tags, or analytics to this file.
+      The build step will place the bundled scripts into the <body> tag.
+
+      To begin the development, run `npm start` or `yarn start`.
+      To create a production bundle, use `npm run build` or `yarn build`.
+    -->
+  </body>
+</html>

TextEditor/public/manifest.json

@@ -0,0 +1,25 @@
+{
+  "short_name": "React App",
+  "name": "Create React App Sample",
+  "icons": [
+    {
+      "src": "favicon.ico",
+      "sizes": "64x64 32x32 24x24 16x16",
+      "type": "image/x-icon"
+    },
+    {
+      "src": "logo192.png",
+      "type": "image/png",
+      "sizes": "192x192"
+    },
+    {
+      "src": "logo512.png",
+      "type": "image/png",
+      "sizes": "512x512"
+    }
+  ],
+  "start_url": ".",
+  "display": "standalone",
+  "theme_color": "#000000",
+  "background_color": "#ffffff"
+}

TextEditor/public/robots.txt

@@ -0,0 +1,3 @@
+# https://www.robotstxt.org/robotstxt.html
+User-agent: *
+Disallow:

TextEditor/src/App.css

@@ -0,0 +1,96 @@
+.App {
+  text-align: center;
+}
+
+.App-logo {
+  height: 40vmin;
+  pointer-events: none;
+}
+
+@media (prefers-reduced-motion: no-preference) {
+  .App-logo {
+    animation: App-logo-spin infinite 20s linear;
+  }
+}
+
+.App-header {
+  background-color: #282c34;
+  min-height: 100vh;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  font-size: calc(10px + 2vmin);
+  color: white;
+}
+
+.App-link {
+  color: #61dafb;
+}
+
+@keyframes App-logo-spin {
+  from {
+    transform: rotate(0deg);
+  }
+  to {
+    transform: rotate(360deg);
+  }
+}
+
+.tiptap table {
+  border-collapse: collapse;
+  table-layout: fixed;
+  width: 100%;
+  margin: 0;
+  overflow: hidden;
+}
+
+.tiptap table td,
+.tiptap table th {
+  min-width: 1em;
+  border: 2px solid #ced4da;
+  padding: 3px 5px;
+  vertical-align: top;
+  box-sizing: border-box;
+  position: relative;
+}
+
+.tiptap table th {
+  font-weight: bold;
+  text-align: left;
+  background-color: #f8f9fa;
+}
+
+.tiptap :focus {
+  outline: none;
+}
+
+.tiptap img {
+  display: block;
+  height: auto;
+  margin: 10px 0;
+  max-width: 100%;
+}
+
+.resizable-image {
+  transition: width 0.2s ease;
+}
+
+math-field {
+  font-size: 1.5rem;
+  padding: 8px;
+  border-radius: 4px;
+  border: 1px solid #ccc;
+  width: 100%;
+}
+
+/* Wymuszenie, aby klawiatura była nad modalem (który ma 1000) */
+:root {
+  --keyboard-zindex: 2000;
+}
+
+/* Opcjonalnie: poprawka, aby klawiatura nie była przezroczysta */
+/* .ML__virtual-keyboard {
+  background-color: white !important;
+  box-shadow: 0 -5px 20px rgba(0,0,0,0.2);
+} */

TextEditor/src/App.js

@@ -0,0 +1,18 @@
+import React from 'react';
+import TextEditor from './TextEditor';
+import './App.css';
+
+function App() {
+  return (
+    <div className="App">
+      <header className="App-header" style={{ minHeight: 'auto', padding: '20px', backgroundColor: '#282c34', color: 'white' }}>
+        <h1>Edytor tekstowy</h1>
+      </header>
+      <main style={{ padding: '20px' }}>
+        <TextEditor />
+      </main>
+    </div>
+  );
+}
+
+export default App;

TextEditor/src/App.test.js

@@ -0,0 +1,8 @@
+import { render, screen } from '@testing-library/react';
+import App from './App';
+
+test('renders learn react link', () => {
+  render(<App />);
+  const linkElement = screen.getByText(/learn react/i);
+  expect(linkElement).toBeInTheDocument();
+});

TextEditor/src/MathField.js

@@ -0,0 +1,43 @@
+import React, { useEffect, useRef } from 'react';
+import 'mathlive';
+
+const MathField = ({ value, onChange }) => {
+  const mfe = useRef(null);
+
+  // Konfiguracja
+  useEffect(() => {
+    const field = mfe.current;
+    if (!field) return;
+    field.setOptions({
+      virtualKeyboardMode: "manual",
+      locale: "pl",
+    });
+    // Nasłuchiwanie zmian w polu
+    const handleInput = (e) => onChange(e.target.value);
+    field.addEventListener('input', handleInput);
+    return () => field.removeEventListener('input', handleInput);
+  }, [onChange]);
+
+  // Synchronizacja wartości z zewnętrznym stanem
+  useEffect(() => {
+    if (mfe.current && mfe.current.value !== value) {
+      mfe.current.value = value;
+    }
+  }, [value]);
+
+  return (
+    <math-field 
+      ref={mfe} 
+      style={{ 
+        width: '100%', 
+        padding: '12px', 
+        fontSize: '1.5rem',
+        border: '1px solid #4CAF50',
+        borderRadius: '8px',
+        background: 'white'
+      }}
+    />
+  );
+};
+
+export default MathField;

TextEditor/src/TextEditor.js

@@ -0,0 +1,359 @@
+import React, { useState } from 'react';
+import { useEditor, EditorContent } from '@tiptap/react';
+import { StarterKit } from '@tiptap/starter-kit';
+import { Table } from '@tiptap/extension-table';
+import { TableRow } from '@tiptap/extension-table-row';
+import { TableCell } from '@tiptap/extension-table-cell';
+import { TableHeader } from '@tiptap/extension-table-header';
+import { Link } from '@tiptap/extension-link';
+import { Image } from '@tiptap/extension-image';
+import { Mathematics } from '@tiptap/extension-mathematics';
+import { Underline } from '@tiptap/extension-underline';
+import { CharacterCount } from '@tiptap/extension-character-count';
+import MathField from './MathField';
+import 'katex/dist/katex.min.css';
+
+const TextEditor = () => {
+  const editor = useEditor({
+  extensions: [
+    StarterKit,
+    Underline,
+    Table.configure({ resizable: true }),
+    TableRow,
+    TableHeader,
+    TableCell,
+    Link.configure({ 
+      openOnClick: false,
+      HTMLAttributes: { class: 'editor-link' } 
+    }),
+    Image.extend({
+      addAttributes() {
+        return {
+          ...this.parent?.(),
+          width: {
+            default: '100%',
+            renderHTML: attributes => ({ width: attributes.width }),
+            parseHTML: element => element.getAttribute('width'),
+          },
+        };
+      },
+    }),
+    Mathematics,
+    CharacterCount,
+  ], 
+  editorProps: {
+    attributes: {
+      class: 'tiptap-editor',
+      style: 'outline: none; padding: 20px; min-height: 500px;',
+    },
+    // Obsługa klawisza Tab
+    handleKeyDown: (view, event) => {
+    if (event.key === 'Tab') {
+      if (editor.isActive('table')) return false; // Pozwalamy domyślnej obsłudze Tab w tabeli
+      event.preventDefault();
+      const { state, dispatch } = view;
+      const { selection, tr } = state;
+      const { $from } = selection;  // Wyciągamy pozycję kursora jako objekt ResolvedPos
+      if (event.shiftKey) { // Obsługa Shift+Tab
+        const textBefore = $from.parent.textBetween(0, $from.parentOffset);        
+        const match = textBefore.match(/ +$/);
+        if (match) {
+          const spacesFound = match[0].length;
+          const amountToRemove = Math.min(spacesFound, 4);
+          const transaction = tr.delete($from.pos - amountToRemove, $from.pos);
+          dispatch(transaction);
+        }
+      } else {
+        // Dla samego Tab wstawiamy 4 spacje
+        const transaction = tr.insertText('    ');
+        dispatch(transaction);
+      }
+
+      return true;
+    }
+    return false;
+  },
+  },
+    content: `<h1>Nowy Dokument</h1><p>Zacznij pisać tutaj...</p>`,
+  });
+
+  // Logika dodawania obrazu
+  const addImage = () => {
+    // Jeżeli kursor jest już na obrazie, pobierz jego aktualne atrybuty
+    const existingAttrs = editor.getAttributes('image');
+    const previousUrl = existingAttrs.src || "";
+    const previousWidth = existingAttrs.width || "100%";
+    // Jeśli obrazek już istnieje, możemy najpierw zapytać o nową szerokość
+    const input = document.createElement('input');
+    input.type = 'file';
+    input.accept = 'image/*';
+
+    // Wczywanie/zmiana rozmiaru obrazu
+    if (previousUrl) {
+      const width = prompt("Szerokość obrazu (np. 50% lub 300px):", previousWidth);
+      editor.chain()
+            .focus()
+            .setImage({ 
+              src: previousUrl, 
+              width: width || '100%' 
+            })
+            .run();
+    } else {
+    input.onchange = (event) => {
+      const file = event.target.files[0];
+      if (file) {
+        const reader = new FileReader();
+        reader.onload = (e) => {
+          const width = prompt("Szerokość obrazu (np. 50% lub 300px):");
+          editor.chain()
+            .focus()
+            .setImage({ 
+              src: e.target.result, 
+              width: width || '100%' 
+            })
+            .run();
+        };
+        reader.readAsDataURL(file);
+      }
+    };
+    input.click();}
+  };
+
+  // Logika ustawiania linku
+  const setLink = () => {
+    const previousUrl = editor.getAttributes('link').href;
+    const url = window.prompt('URL:', previousUrl);
+    if (url === null) return;
+    if (url === '') {
+      editor.chain().focus().extendMarkRange('link').unsetLink().run();
+      return;
+    }
+    editor.chain().focus().extendMarkRange('link').setLink({ href: url }).run();
+  };
+
+  // Logika wstawiania formuły matematycznej
+  const [isMathModalOpen, setMathModalOpen] = useState(false);
+  const [tempLatex, setTempLatex] = useState("");
+
+  const insertMath = () => {
+    const existing = editor.getAttributes('inlineMath').latex || '';
+    setTempLatex(existing);
+    setMathModalOpen(true);
+  };
+
+  const handleMathConfirm = () => {
+    if (editor.isActive('inlineMath')) {
+      editor.chain().focus().updateAttributes('inlineMath', { latex: tempLatex }).run();
+    } else {
+      editor.chain().focus().insertContent({
+        type: 'inlineMath',
+        attrs: { latex: tempLatex }
+      }).run();
+    }
+    setMathModalOpen(false);
+  };
+
+  // Logika dodawania tabeli
+  const addTable = () => {
+  const rows = window.prompt("Liczba wierszy:", "3");
+  if (rows === null) return; // Anulowanie
+  const cols = window.prompt("Liczba kolumn:", "3");
+  if (cols === null) return; // Anulowanie
+  editor.chain().focus().insertTable({ 
+    rows: parseInt(rows) || 3, 
+    cols: parseInt(cols) || 3, 
+    withHeaderRow: true 
+  }).run();
+  };
+
+  // Logika zapisu dokumentu
+  const handleSave = async () => {
+    const defaultTitle = "Dokument Archivium_" + new Date().toLocaleDateString();
+    const userTitle = window.prompt("Podaj nazwę pliku:", defaultTitle);
+    if (userTitle === null) return; // Anulowanie
+    const finalTitle = userTitle.trim() || defaultTitle;
+
+    const docData = {
+      title: finalTitle,
+      content: editor.getJSON(),
+    };
+    try {
+      const response = await fetch('http://127.0.0.1:8000/save-document', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify(docData),
+      });
+      
+      const result = await response.json();
+      if (result.status === "success") {
+        alert(`Zapisano pomyślnie jako: ${finalTitle}`);
+      }
+    } catch (error) {
+      alert("Błąd połączenia z modułem zapisu!");
+    }
+  };
+
+  // Logika wczytywania dokumentu
+  const handleLoad = async () => {
+    const fileName = window.prompt("Podaj nazwę dokumentu do wczytania:", "");
+    if (fileName === null) return; // Anulowanie
+    try {
+      let url = 'http://127.0.0.1:8000/load-document';
+      if (fileName.trim() !== "") { // Dodaj nazwę pliku jako parametr zapytania, jeśli została podana
+        url += `?title=${encodeURIComponent(fileName.trim())}`;
+      }
+      const response = await fetch(url);
+      const data = await response.json();
+      if (data.content) {
+        editor.commands.setContent(data.content);
+        alert(`Wczytano: ${data.title || fileName}`);
+      } else {
+        alert("Błąd wczytywania: " + (data.error || "Nie znaleziono pliku o tej nazwie."));
+      }
+    } catch (error) {
+      alert("Błąd połączenia z modułem wczytywania!");
+    }
+  };
+
+  // Nie renderuj edytora, jeśli nie jest gotowy
+  if (!editor) return null;
+  
+  return (
+    <div className="tools-container" style={{ border: '1px solid #b3b3b3', borderRadius: '4px', overflow: 'hidden', fontFamily: 'sans-serif', position: 'relative' }}>
+      
+    {/* Pasek narzędzi formatowania */}
+    <div className="main-toolbar" style={{ background: '#f8f9fa', borderBottom: '1px solid #ddd', padding: '10px', display: 'flex', gap: '8px', flexWrap: 'wrap' }}>
+      {/* Grupa nagłówków */}
+      <div className="group" style={{ display: 'flex', gap: '2px', borderRight: '1px solid #ddd', paddingRight: '8px' }}>
+        <button onClick={() => editor.chain().focus().toggleHeading({ level: 1 }).run()} style={{ fontWeight: editor.isActive('heading', { level: 1 }) ? 'bold' : 'normal' }}>H1</button>
+        <button onClick={() => editor.chain().focus().toggleHeading({ level: 2 }).run()} style={{ fontWeight: editor.isActive('heading', { level: 2 }) ? 'bold' : 'normal' }}>H2</button>
+        <button onClick={() => editor.chain().focus().toggleHeading({ level: 3 }).run()} style={{ fontWeight: editor.isActive('heading', { level: 3 }) ? 'bold' : 'normal' }}>H3</button>
+      </div>
+
+      {/* Grupa formatowania tekstu */}
+      <div className="group" style={{ display: 'flex', gap: '2px', borderRight: '1px solid #ddd', paddingRight: '8px' }}>
+        <button onClick={() => editor.chain().focus().toggleBold().run()} style={{ fontWeight: editor.isActive('bold') ? 'bold' : 'normal' }}>B</button>
+        <button onClick={() => editor.chain().focus().toggleItalic().run()} style={{ fontStyle: editor.isActive('italic') ? 'italic' : 'normal' }}>I</button>
+        <button onClick={() => editor.chain().focus().toggleUnderline().run()} style={{ textDecoration: editor.isActive('underline') ? 'underline' : 'none' }}>U</button>
+        <button onClick={() => editor.chain().focus().toggleStrike().run()} style={{ textDecoration: editor.isActive('strike') ? 'line-through' : 'none' }}>S</button>
+      </div>
+
+      {/* Grupa list */}
+      <div className="group" style={{ display: 'flex', gap: '2px', borderRight: '1px solid #ddd', paddingRight: '8px' }}>
+        <button onClick={() => editor.chain().focus().toggleBulletList().run()}>• List</button>
+        <button onClick={() => editor.chain().focus().toggleOrderedList().run()}>1. List</button>
+      </div>
+
+      {/* Grupa wstawiania elementów */}
+      <div className="group" style={{ display: 'flex', gap: '2px' }}>
+        <button onClick={setLink} style={{ color: editor.isActive('link') ? '#2196F3' : 'black' }}>Link</button>
+        <button onClick={addImage}>Image</button>
+        <button onClick={insertMath}>Σ Formula</button>
+        <button onClick={addTable}>Tabela</button>
+      </div>
+    </div>
+
+    {/* Pasek narzędzi tabeli */}
+    {editor.isActive('table') && (
+      <div className="table-controls" style={{ background: '#e9ecef', padding: '5px 10px', display: 'flex', gap: '10px', alignItems: 'center', fontSize: '12px' }}>
+        <span>Tabela:</span>
+        <button onClick={() => editor.chain().focus().addColumnAfter().run()}>+Kolumna</button>
+        <button onClick={() => editor.chain().focus().deleteColumn().run()}>-Kolumna</button>
+        <button onClick={() => editor.chain().focus().addRowAfter().run()}>+Wiersz</button>
+        <button onClick={() => editor.chain().focus().deleteRow().run()}>-Wiersz</button>
+        <button onClick={() => editor.chain().focus().mergeCells().run()}>Scal</button>
+        <button onClick={() => editor.chain().focus().splitCell().run()}>Rozdziel</button>
+        <button onClick={() => editor.chain().focus().deleteTable().run()} style={{ color: 'red' }}>Usuń</button>
+      </div>
+    )}
+
+    {/* Obszar edycji */}
+    <div style={{ background: 'white' }}>
+      <EditorContent editor={editor} />
+    </div>
+
+    {/* Pasek statusu */}
+    <div className="status-bar" style={{ background: '#f8f9fa', borderTop: '1px solid #ddd', padding: '10px', display: 'flex', justifyContent: 'space-between', alignItems: 'center' }}>
+      <div style={{ fontSize: '12px', color: '#666' }}>
+        Znaki: {editor.storage.characterCount.characters()} | Słowa: {editor.storage.characterCount.words()}
+      </div>
+      <div style={{ display: 'flex', gap: '10px' }}>
+        <button onClick={handleLoad} style={{ background: '#f0f0f0', border: '1px solid #ccc', padding: '5px 15px', cursor: 'pointer' }}>Wczytaj</button>
+        <button onClick={handleSave} style={{ background: '#4CAF50', color: 'white', border: 'none', padding: '5px 20px', borderRadius: '3px', cursor: 'pointer' }}>Zapisz</button>
+      </div>
+    </div>
+
+    {/* Okno Modala dla edytora funkcji matematycznych */}
+    {isMathModalOpen && (
+      <>
+        {/* Tło (Overlay) */}
+        <div 
+          style={{ 
+            position: 'fixed', 
+            top: 0, 
+            left: 0, 
+            right: 0, 
+            bottom: 0, 
+            background: 'rgba(0,0,0,0.5)',
+            zIndex: 999 
+          }} 
+        />
+        
+        {/* Okno Modala */}
+        <div 
+          style={{
+            position: 'fixed', 
+            top: '50%', 
+            left: '50%', 
+            transform: 'translate(-50%, -50%)',
+            background: 'white', 
+            padding: '25px', 
+            zIndex: 1000, 
+            boxShadow: '0 10px 30px rgba(0,0,0,0.5)', 
+            borderRadius: '12px', 
+            width: '450px'
+          }}
+        >
+          <h3 style={{ marginTop: 0, color: '#333' }}>Wizualny Edytor Równań</h3>
+          
+          <MathField 
+            value={tempLatex} 
+            onChange={setTempLatex} 
+          />
+
+          <div style={{ marginTop: '25px', display: 'flex', gap: '12px', justifyContent: 'flex-end' }}>
+            <button 
+              onClick={() => setMathModalOpen(false)} 
+              style={{ 
+                padding: '10px 20px', 
+                cursor: 'pointer',
+                border: '1px solid #ccc',
+                borderRadius: '6px',
+                background: 'white'
+              }}
+            >
+              Anuluj
+            </button>
+            <button 
+              onClick={handleMathConfirm}
+              style={{ 
+                background: '#4CAF50', 
+                color: 'white', 
+                border: 'none', 
+                padding: '10px 25px', 
+                borderRadius: '6px', 
+                cursor: 'pointer',
+                fontWeight: 'bold'
+              }}
+            >
+              Wstaw do dokumentu
+            </button>
+          </div>
+        </div>
+      </>
+    )}
+    </div>
+  );
+};
+
+export default TextEditor;

TextEditor/src/index.css

@@ -0,0 +1,13 @@
+body {
+  margin: 0;
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen',
+    'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue',
+    sans-serif;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+}
+
+code {
+  font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New',
+    monospace;
+}

TextEditor/src/index.js

@@ -0,0 +1,17 @@
+import React from 'react';
+import ReactDOM from 'react-dom/client';
+import './index.css';
+import App from './App';
+import reportWebVitals from './reportWebVitals';
+
+const root = ReactDOM.createRoot(document.getElementById('root'));
+root.render(
+  <React.StrictMode>
+    <App />
+  </React.StrictMode>
+);
+
+// If you want to start measuring performance in your app, pass a function
+// to log results (for example: reportWebVitals(console.log))
+// or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals
+reportWebVitals();

TextEditor/src/logo.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 841.9 595.3"><g fill="#61DAFB"><path d="M666.3 296.5c0-32.5-40.7-63.3-103.1-82.4 14.4-63.6 8-114.2-20.2-130.4-6.5-3.8-14.1-5.6-22.4-5.6v22.3c4.6 0 8.3.9 11.4 2.6 13.6 7.8 19.5 37.5 14.9 75.7-1.1 9.4-2.9 19.3-5.1 29.4-19.6-4.8-41-8.5-63.5-10.9-13.5-18.5-27.5-35.3-41.6-50 32.6-30.3 63.2-46.9 84-46.9V78c-27.5 0-63.5 19.6-99.9 53.6-36.4-33.8-72.4-53.2-99.9-53.2v22.3c20.7 0 51.4 16.5 84 46.6-14 14.7-28 31.4-41.3 49.9-22.6 2.4-44 6.1-63.6 11-2.3-10-4-19.7-5.2-29-4.7-38.2 1.1-67.9 14.6-75.8 3-1.8 6.9-2.6 11.5-2.6V78.5c-8.4 0-16 1.8-22.6 5.6-28.1 16.2-34.4 66.7-19.9 130.1-62.2 19.2-102.7 49.9-102.7 82.3 0 32.5 40.7 63.3 103.1 82.4-14.4 63.6-8 114.2 20.2 130.4 6.5 3.8 14.1 5.6 22.5 5.6 27.5 0 63.5-19.6 99.9-53.6 36.4 33.8 72.4 53.2 99.9 53.2 8.4 0 16-1.8 22.6-5.6 28.1-16.2 34.4-66.7 19.9-130.1 62-19.1 102.5-49.9 102.5-82.3zm-130.2-66.7c-3.7 12.9-8.3 26.2-13.5 39.5-4.1-8-8.4-16-13.1-24-4.6-8-9.5-15.8-14.4-23.4 14.2 2.1 27.9 4.7 41 7.9zm-45.8 106.5c-7.8 13.5-15.8 26.3-24.1 38.2-14.9 1.3-30 2-45.2 2-15.1 0-30.2-.7-45-1.9-8.3-11.9-16.4-24.6-24.2-38-7.6-13.1-14.5-26.4-20.8-39.8 6.2-13.4 13.2-26.8 20.7-39.9 7.8-13.5 15.8-26.3 24.1-38.2 14.9-1.3 30-2 45.2-2 15.1 0 30.2.7 45 1.9 8.3 11.9 16.4 24.6 24.2 38 7.6 13.1 14.5 26.4 20.8 39.8-6.3 13.4-13.2 26.8-20.7 39.9zm32.3-13c5.4 13.4 10 26.8 13.8 39.8-13.1 3.2-26.9 5.9-41.2 8 4.9-7.7 9.8-15.6 14.4-23.7 4.6-8 8.9-16.1 13-24.1zM421.2 430c-9.3-9.6-18.6-20.3-27.8-32 9 .4 18.2.7 27.5.7 9.4 0 18.7-.2 27.8-.7-9 11.7-18.3 22.4-27.5 32zm-74.4-58.9c-14.2-2.1-27.9-4.7-41-7.9 3.7-12.9 8.3-26.2 13.5-39.5 4.1 8 8.4 16 13.1 24 4.7 8 9.5 15.8 14.4 23.4zM420.7 163c9.3 9.6 18.6 20.3 27.8 32-9-.4-18.2-.7-27.5-.7-9.4 0-18.7.2-27.8.7 9-11.7 18.3-22.4 27.5-32zm-74 58.9c-4.9 7.7-9.8 15.6-14.4 23.7-4.6 8-8.9 16-13 24-5.4-13.4-10-26.8-13.8-39.8 13.1-3.1 26.9-5.8 41.2-7.9zm-90.5 125.2c-35.4-15.1-58.3-34.9-58.3-50.6 0-15.7 22.9-35.6 58.3-50.6 8.6-3.7 18-7 27.7-10.1 5.7 19.6 13.2 40 22.5 60.9-9.2 20.8-16.6 41.1-22.2 60.6-9.9-3.1-19.3-6.5-28-10.2zM310 490c-13.6-7.8-19.5-37.5-14.9-75.7 1.1-9.4 2.9-19.3 5.1-29.4 19.6 4.8 41 8.5 63.5 10.9 13.5 18.5 27.5 35.3 41.6 50-32.6 30.3-63.2 46.9-84 46.9-4.5-.1-8.3-1-11.3-2.7zm237.2-76.2c4.7 38.2-1.1 67.9-14.6 75.8-3 1.8-6.9 2.6-11.5 2.6-20.7 0-51.4-16.5-84-46.6 14-14.7 28-31.4 41.3-49.9 22.6-2.4 44-6.1 63.6-11 2.3 10.1 4.1 19.8 5.2 29.1zm38.5-66.7c-8.6 3.7-18 7-27.7 10.1-5.7-19.6-13.2-40-22.5-60.9 9.2-20.8 16.6-41.1 22.2-60.6 9.9 3.1 19.3 6.5 28.1 10.2 35.4 15.1 58.3 34.9 58.3 50.6-.1 15.7-23 35.6-58.4 50.6zM320.8 78.4z"/><circle cx="420.9" cy="296.5" r="45.7"/><path d="M520.5 78.1z"/></g></svg>

TextEditor/src/reportWebVitals.js

@@ -0,0 +1,13 @@
+const reportWebVitals = onPerfEntry => {
+  if (onPerfEntry && onPerfEntry instanceof Function) {
+    import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => {
+      getCLS(onPerfEntry);
+      getFID(onPerfEntry);
+      getFCP(onPerfEntry);
+      getLCP(onPerfEntry);
+      getTTFB(onPerfEntry);
+    });
+  }
+};
+
+export default reportWebVitals;

TextEditor/src/setupTests.js

@@ -0,0 +1,5 @@
+// jest-dom adds custom jest matchers for asserting on DOM nodes.
+// allows you to do things like:
+// expect(element).toHaveTextContent(/react/i)
+// learn more: https://github.com/testing-library/jest-dom
+import '@testing-library/jest-dom';

main.py

@@ -0,0 +1,56 @@
+import subprocess
+import os
+import sys
+import time
+import webbrowser
+
+
+def install_missing_packages():
+    packages = ["uvicorn", "fastapi", "sentence-transformers"]
+    for package in packages:
+        try:
+            __import__(package.replace("-", "_"))
+        except ImportError:
+            print(f"[*] Instalowanie brakującej biblioteki: {package}...")
+            subprocess.check_call([sys.executable, "-m", "pip", "install", package])
+
+
+def run_archivium():
+    install_missing_packages()
+    base_dir = os.path.dirname(os.path.abspath(__file__))
+
+    backend_script = os.path.join(base_dir, "Database", "database.py")
+    frontend_dir = os.path.join(base_dir, "TextEditor")
+
+    print("\n--- URUCHAMIANIE SYSTEMU ARCHIVIUM ---")
+
+    print(f"[*] Startuję bazę danych...")
+    backend_process = subprocess.Popen(
+        [sys.executable, backend_script],
+        cwd=os.path.join(base_dir, "Database")
+    )
+
+    print(f"[*] Startuję edytor...")
+    frontend_process = subprocess.Popen(
+        "npm start",
+        shell=True,
+        cwd=frontend_dir,
+        creationflags=subprocess.CREATE_NEW_CONSOLE
+    )
+
+    print("[*] Oczekiwanie na gotowość...")
+    time.sleep(5)
+
+    webbrowser.open("http://localhost:3000")
+
+    try:
+        backend_process.wait()
+        frontend_process.wait()
+    except KeyboardInterrupt:
+        print("\n[*] Zamykanie systemu...")
+        backend_process.terminate()
+        frontend_process.terminate()
+
+
+if __name__ == "__main__":
+    run_archivium()