commit 9a86fe25e1373da1f78bc7d540afbcc325cdffdc
Author: Tomas Mirchev <contact@tomastm.com>
Date:   Thu Apr 3 04:16:38 2025 +0000

    init

diff --git a/.gitignore b/.gitignore
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+++ b/.gitignore
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+data/
+data_bak/
diff --git a/Archive.zip b/Archive.zip
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index 0000000..148ea51
Binary files /dev/null and b/Archive.zip differ
diff --git a/README.md b/README.md
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+++ b/README.md
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+# Notes
+
+filename: `file-{counter}.docx` -> `file-{counter}.pdf`
+- group by title
+
+structure:
+```
+{
+  topics: [
+    {
+      id: "t111",
+      title: "some title",
+      files: [
+        "file-11.pdf",
+        "file-42.pdf"
+      ]
+    }
+  ]
+}
+```
diff --git a/analyze.py b/analyze.py
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+++ b/analyze.py
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+#!/usr/bin/env python3
+import os
+import glob
+import re
+import zipfile
+import subprocess
+import xml.etree.ElementTree as ET
+import shutil
+import json
+from pathlib import Path
+import difflib
+import hashlib
+import docx
+from docx2pdf import convert
+from prettytable import PrettyTable
+
+
+def clean_string(input_string):
+
+    # Remove everything up to and including the first numbers and any period that follows,
+    # then any whitespace
+    result = re.sub(r"^.*?(\d+)\.?\s*", "", input_string)
+
+    # Fix spacing around punctuation (periods, colons, commas)
+    # Add space after punctuation if followed by non-whitespace
+    result = re.sub(r"([.,:])\s*([^\s.,:])", r"\1 \2", result)
+
+    # Remove space before punctuation
+    result = re.sub(r"\s+([.,:])", r"\1", result)
+
+    # Replace multiple consecutive punctuation marks with a single one
+    result = re.sub(r"\.{2,}", ".", result)
+    result = re.sub(r":{2,}", ":", result)
+    result = re.sub(r",{2,}", ",", result)
+
+    # Remove ending dot
+    result = re.sub(r"\.$", "", result)
+
+    # Replace multiple whitespaces with a single space
+    result = re.sub(r"\s{2,}", " ", result)
+
+    result = re.sub(r"^\.?\s*тема:\s*", "", result)
+
+    # Trim leading and trailing whitespace
+    result = result.strip()
+
+    return result
+
+
+def read_first_line_docx(filename):
+    try:
+        doc = docx.Document(filename)
+
+        # Check if document has any content
+        if not doc.paragraphs:
+            return "Document contains no text"
+
+        # Look for the first non-empty paragraph
+        for i, para in enumerate(doc.paragraphs[:5]):  # Check first 5 paragraphs
+            text = para.text.strip()
+            if text:
+                # Check if this paragraph has title-like formatting
+                is_title = False
+                for run in para.runs:
+                    if run.bold or run.font.size and run.font.size > 12:
+                        is_title = True
+                        break
+
+                # Return this paragraph if it's formatted like a title or if it's the first with text
+                if is_title or i == 0:
+                    # Split by newlines and take first line
+                    first_line = text.split("\n")[0].strip()
+                    return clean_string(first_line)
+
+        # If we reach here, use the first paragraph that has any text
+        for para in doc.paragraphs:
+            if para.text.strip():
+                return clean_string(para.text.split("\n")[0].strip())
+
+        return "Document contains no text"
+
+    except Exception as e:
+        return f"Error reading document: {str(e)}"
+
+
+def group_duplicates(items):
+    grouped = {}
+
+    # Group by title
+    for item in items:
+        title = item["title"]
+        if title not in grouped:
+            grouped[title] = []
+        grouped[title].append(item)
+
+    # Convert to list of groups
+    result = list(grouped.values())
+    return result
+
+
+def main():
+    convert("./data/", "./data_pdf/")
+    return
+    table = PrettyTable()
+    table.field_names = ["id", "filename", "first line"]
+
+    text = []
+
+    data_dir = "./data_pdf"
+    filenames = os.listdir(data_dir)
+    for i, filename in enumerate(filenames):
+        filepath = os.path.join(data_dir, filename)
+        first_line = read_first_line_docx(filepath)
+        text.append({"filename": filename, "title": first_line})
+
+    final_structure = []
+    grouped = group_duplicates(text)
+    for i, g in enumerate(grouped, 1):
+        final_structure.append(
+            {
+                "id": f"F{i:03d}",
+                "title": g[0]["title"],
+                "files": [t["filename"] for t in g],
+            }
+        )
+    with open("structure.json", "w", encoding="utf-8") as json_file:
+        json.dump(final_structure, json_file, ensure_ascii=False, indent=4)
+
+
+def rename_files():
+    docx_files = glob.glob("./data/*.docx")
+
+    # Sort the files to ensure consistent numbering
+    docx_files.sort()
+
+    # Rename each file with a counter
+    for i, file_path in enumerate(docx_files, 1):
+        # Create the new filename with 3 digits (001, 002, etc.)
+        new_filename = f"./data/f{i:03d}.docx"
+
+        # Rename the file
+        os.rename(file_path, new_filename)
+        print(f"Renamed: {file_path} -> {new_filename}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/code.py b/code.py
new file mode 100644
index 0000000..6111f1b
--- /dev/null
+++ b/code.py
@@ -0,0 +1,313 @@
+#!/usr/bin/env python3
+import os
+import re
+import zipfile
+import subprocess
+import xml.etree.ElementTree as ET
+import shutil
+import json
+from pathlib import Path
+import difflib
+import hashlib
+
+
+def extract_first_line_docx(docx_file):
+    """Extract the first line of text from a docx file using built-in libraries."""
+    try:
+        # Open the docx file as a zip archive
+        with zipfile.ZipFile(docx_file) as zip_ref:
+            # Extract document.xml which contains the main content
+            xml_content = zip_ref.read("word/document.xml")
+
+            # Parse the XML
+            root = ET.fromstring(xml_content)
+
+            # Define namespace
+            namespaces = {
+                "w": "http://schemas.openxmlformats.org/wordprocessingml/2006/main"
+            }
+
+            # Find all text elements
+            text_elements = root.findall(".//w:t", namespaces)
+
+            # Concatenate text from first paragraph with content
+            paragraph_text = ""
+            for element in text_elements:
+                text = element.text
+                if text and text.strip():
+                    paragraph_text += text
+                    # If we have some text and hit a line break or period, that's good enough for a first line
+                    if "\n" in paragraph_text or "." in paragraph_text:
+                        break
+
+            # Clean and return the first line if found
+            if paragraph_text.strip():
+                return paragraph_text.strip()
+
+        return "NoTextFound"
+
+    except Exception as e:
+        print(f"Error reading {docx_file}: {e}")
+        return "ErrorReadingFile"
+
+
+def extract_first_line_doc(doc_file):
+    """Extract the first line of text from a doc file using antiword if available, otherwise return a placeholder."""
+    try:
+        # Check if antiword is installed
+        result = subprocess.run(
+            ["which", "antiword"], stdout=subprocess.PIPE, stderr=subprocess.PIPE
+        )
+
+        if result.returncode == 0:
+            # Use antiword to extract text
+            result = subprocess.run(
+                ["antiword", str(doc_file)],
+                stdout=subprocess.PIPE,
+                stderr=subprocess.PIPE,
+                text=True,
+            )
+            if result.returncode == 0:
+                text = result.stdout
+                # Get the first non-empty line
+                for line in text.split("\n"):
+                    if line.strip():
+                        return line.strip()
+            else:
+                print(f"Antiword error: {result.stderr}")
+        else:
+            # Try catdoc if available
+            result = subprocess.run(
+                ["which", "catdoc"], stdout=subprocess.PIPE, stderr=subprocess.PIPE
+            )
+            if result.returncode == 0:
+                result = subprocess.run(
+                    ["catdoc", str(doc_file)],
+                    stdout=subprocess.PIPE,
+                    stderr=subprocess.PIPE,
+                    text=True,
+                )
+                if result.returncode == 0:
+                    text = result.stdout
+                    # Get the first non-empty line
+                    for line in text.split("\n"):
+                        if line.strip():
+                            return line.strip()
+                else:
+                    print(f"Catdoc error: {result.stderr}")
+            else:
+                print(
+                    "Neither antiword nor catdoc is installed. Cannot extract text from .doc files."
+                )
+                return f"Doc_FileNeedsConversion_{Path(doc_file).stem}"
+
+        return "NoTextFound"
+
+    except Exception as e:
+        print(f"Error reading {doc_file}: {e}")
+        return "ErrorReadingFile"
+
+
+def clean_title(title):
+    """Clean title by removing various prefixes and formatting."""
+    # Remove leading numbers and dots (like "15 ", "3.", "8", etc.)
+    title = re.sub(r"^\d+\.?\s*", "", title)
+
+    # More aggressive pattern to match different variations of "Тема: N" or "Тема N"
+    title = re.sub(r"^[Тт]ема[\s:]*\d+\s*", "", title)
+
+    # Remove "copy" at the end
+    title = re.sub(r"\s+copy$", "", title)
+
+    # Remove extra spaces
+    title = re.sub(r"\s+", " ", title).strip()
+
+    return title
+
+
+def calculate_file_hash(filepath):
+    """Calculate MD5 hash of a file to compare content."""
+    hasher = hashlib.md5()
+    with open(filepath, "rb") as f:
+        buf = f.read(65536)  # Read in 64k chunks
+        while len(buf) > 0:
+            hasher.update(buf)
+            buf = f.read(65536)
+    return hasher.hexdigest()
+
+
+def find_similar_files(files):
+    """Group similar files to detect originals and copies."""
+    # First pass: group by filename similarity
+    filename_groups = {}
+
+    for file_path in files:
+        filename = file_path.name
+        # Remove "copy" for comparison
+        base_name = re.sub(r"\s+copy\.[^.]+$", "", filename)
+        base_name = re.sub(r"\s+copy$", "", base_name)
+
+        if base_name not in filename_groups:
+            filename_groups[base_name] = []
+        filename_groups[base_name].append(file_path)
+
+    # Filter groups to keep only those with multiple files
+    duplicate_groups = {k: v for k, v in filename_groups.items() if len(v) > 1}
+
+    # Second pass: verify content similarity using hashes
+    verified_duplicates = {}
+
+    for base_name, file_paths in duplicate_groups.items():
+        hashes = {}
+        for file_path in file_paths:
+            file_hash = calculate_file_hash(file_path)
+            if file_hash not in hashes:
+                hashes[file_hash] = []
+            hashes[file_hash].append(file_path)
+
+        # Keep groups with identical content
+        identical_files = [
+            files for hash_val, files in hashes.items() if len(files) > 1
+        ]
+        if identical_files:
+            verified_duplicates[base_name] = identical_files
+
+        # Also track files with the same name but different content
+        if len(hashes) > 1:
+            print(
+                f"Warning: Files with similar names but different content: {file_paths}"
+            )
+
+    return verified_duplicates, duplicate_groups
+
+
+def main():
+    # Directory containing the doc/docx files
+    data_dir = "./data"
+
+    # Create backup and duplicates directories
+    backup_dir = os.path.join(data_dir, "docs_backup")
+    duplicates_dir = os.path.join(data_dir, "duplicates")
+    os.makedirs(backup_dir, exist_ok=True)
+    os.makedirs(duplicates_dir, exist_ok=True)
+
+    # Get all doc and docx files in the data directory
+    docs_path = Path(data_dir)
+    doc_files = list(docs_path.glob("*.doc"))
+    docx_files = list(docs_path.glob("*.docx"))
+    all_files = doc_files + docx_files
+
+    if not all_files:
+        print(f"No doc/docx files found in {data_dir}")
+        return
+
+    print(f"Found {len(all_files)} documents")
+
+    # First, let's handle duplicates
+    print("\nChecking for duplicate files...")
+    verified_duplicates, potential_duplicates = find_similar_files(all_files)
+
+    # Move duplicate files to the duplicates directory
+    files_to_remove = []
+    for base_name, duplicate_groups in verified_duplicates.items():
+        for duplicate_group in duplicate_groups:
+            # Keep the first file, move others to duplicates directory
+            keeper = duplicate_group[0]
+            for dupe in duplicate_group[1:]:
+                print(
+                    f"Moving duplicate: {dupe.name} → duplicates/ (identical to {keeper.name})"
+                )
+                shutil.move(dupe, os.path.join(duplicates_dir, dupe.name))
+                files_to_remove.append(dupe)
+
+    # For potential duplicates with "copy" in the name
+    for base_name, file_paths in potential_duplicates.items():
+        # Check if any have "copy" in the name
+        copy_files = [f for f in file_paths if "copy" in f.name.lower()]
+        non_copy_files = [f for f in file_paths if "copy" not in f.name.lower()]
+
+        # If we have both originals and copies
+        if copy_files and non_copy_files:
+            for copy_file in copy_files:
+                # Check if we already moved this as a verified duplicate
+                if copy_file in files_to_remove:
+                    continue
+
+                print(
+                    f"Moving potential duplicate: {copy_file.name} → duplicates/ (has 'copy' in name)"
+                )
+                shutil.move(copy_file, os.path.join(duplicates_dir, copy_file.name))
+                files_to_remove.append(copy_file)
+
+    # Remove duplicates from the processing list
+    for file_path in files_to_remove:
+        if file_path in all_files:
+            all_files.remove(file_path)
+
+    # Now let's process the remaining files
+    print(f"\nProcessing {len(all_files)} unique files...")
+
+    # Sort files by name for consistent processing
+    all_files.sort(key=lambda x: x.name)
+
+    # Dictionary to store full titles
+    title_map = {}
+
+    # Process each file
+    for counter, filepath in enumerate(all_files, 1):
+        filename = filepath.name
+
+        # Skip files in the backup/duplicates directories
+        if any(d in str(filepath) for d in ["docs_backup", "duplicates"]):
+            continue
+
+        print(f"Processing {filename}...")
+
+        # Get first line of content based on file type
+        if filepath.suffix.lower() == ".docx":
+            first_line = extract_first_line_docx(filepath)
+        else:  # .doc
+            first_line = extract_first_line_doc(filepath)
+
+        # Clean the title
+        clean_full_title = clean_title(first_line)
+
+        # Format counter with leading zeros
+        counter_str = f"{counter:03d}"
+
+        # Store the full title in the dictionary with counter as key
+        title_map[counter_str] = clean_full_title
+
+        # Create new filename with requested format: "TXXX.extension"
+        new_filename = f"T{counter_str}{filepath.suffix}"
+        new_filepath = filepath.parent / new_filename
+
+        # Create a backup
+        backup_path = Path(backup_dir) / filename
+        shutil.copy2(filepath, backup_path)
+
+        print(f"Renaming: {filename} → {new_filename}")
+
+        # Rename the file
+        filepath.rename(new_filepath)
+
+    # Save the full titles to a JSON file
+    json_path = os.path.join(data_dir, "document_titles.json")
+    with open(json_path, "w", encoding="utf-8") as json_file:
+        json.dump(title_map, json_file, ensure_ascii=False, indent=2)
+
+    print(f"\nAll files renamed. Backups stored in '{backup_dir}' directory.")
+    print(f"Duplicate files moved to '{duplicates_dir}' directory.")
+    print(f"Full titles saved to '{json_path}'")
+
+    # Print installation instructions if needed
+    if doc_files:
+        print(
+            "\nNOTE: To process .doc files, you may need to install one of these tools:"
+        )
+        print("  - antiword: sudo apt-get install antiword")
+        print("  - catdoc: sudo apt-get install catdoc")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/structure.json b/structure.json
new file mode 100644
index 0000000..0e14206
--- /dev/null
+++ b/structure.json
@@ -0,0 +1,466 @@
+[
+    {
+        "id": "F001",
+        "title": "Предмет и задачи на вътрешната медицина. Раздели на вътрешните болести",
+        "files": [
+            "f001.docx"
+        ]
+    },
+    {
+        "id": "F002",
+        "title": "Тумори на белия дроб",
+        "files": [
+            "f002.docx"
+        ]
+    },
+    {
+        "id": "F003",
+        "title": "Белодробен тромбоемболизъм",
+        "files": [
+            "f003.docx",
+            "f096.docx"
+        ]
+    },
+    {
+        "id": "F004",
+        "title": "Плеврити",
+        "files": [
+            "f004.docx",
+            "f097.docx"
+        ]
+    },
+    {
+        "id": "F005",
+        "title": "Белодробна туберколоза-етиология, патогенеза, и клинична картина. Първична и вторична ТБК. Лечение и профилактика на туберкулоза",
+        "files": [
+            "f005.docx",
+            "f098.docx"
+        ]
+    },
+    {
+        "id": "F006",
+        "title": "Дихателна недостатъчност",
+        "files": [
+            "f006.docx"
+        ]
+    },
+    {
+        "id": "F007",
+        "title": "Основни симптоми и синдроми при заболявания на ССС Физикални и специални методи на изследване на ССС",
+        "files": [
+            "f007.docx",
+            "f031.docx"
+        ]
+    },
+    {
+        "id": "F008",
+        "title": "Болест и здраве. Етилогия и патогенеза на болестите. Периоди на болестта",
+        "files": [
+            "f008.docx"
+        ]
+    },
+    {
+        "id": "F009",
+        "title": "Болести на надбъбречните жлези: Хиперкортицизъм. Хипокортицизъм",
+        "files": [
+            "f009.docx",
+            "f047.docx"
+        ]
+    },
+    {
+        "id": "F010",
+        "title": "Агония. Клинична смърт. Биологична смърт",
+        "files": [
+            "f010.docx"
+        ]
+    },
+    {
+        "id": "F011",
+        "title": "Физикални методи на изследване на стомашно-чревния тракт",
+        "files": [
+            "f011.docx"
+        ]
+    },
+    {
+        "id": "F012",
+        "title": "Основни симптоми и синдроми при заболявания на отделителната система. Функционално изследване на ОС",
+        "files": [
+            "f012.docx"
+        ]
+    },
+    {
+        "id": "F013",
+        "title": "Основни класически методи на изследване във вътрешната медицина-анамнеза. Физикални методи на изследване на болните –оглед, палпация, перкусия, аускултация. Специални методи на изследване на пациентите",
+        "files": [
+            "f013.docx"
+        ]
+    },
+    {
+        "id": "F014",
+        "title": "Деформираща артроза ОСТЕОАРТРОЗА",
+        "files": [
+            "f014.docx"
+        ]
+    },
+    {
+        "id": "F015",
+        "title": "Сегашно състояние-обективен статус на болния. Клинична диагноза и прогноза. Проследяване на болния-декурзус",
+        "files": [
+            "f015.docx"
+        ]
+    },
+    {
+        "id": "F016",
+        "title": "Изследване на ДС. Основни симптоми и синдроми на заболявания на ДС. Физиклани и спциални методи на изследване",
+        "files": [
+            "f016.docx"
+        ]
+    },
+    {
+        "id": "F017",
+        "title": "Остър и хроничен бронхит. Белодробен емфизем. ХОББ",
+        "files": [
+            "f017.docx",
+            "f057.docx"
+        ]
+    },
+    {
+        "id": "F018",
+        "title": "Пневмонии: класификация, клиника, лечение",
+        "files": [
+            "f018.docx",
+            "f075.docx"
+        ]
+    },
+    {
+        "id": "F019",
+        "title": "Бронхиектазии. Белодробен абцес",
+        "files": [
+            "f019.docx"
+        ]
+    },
+    {
+        "id": "F020",
+        "title": "Хипертонична болест- рискови фактори;патогенеза;клиника, лечение",
+        "files": [
+            "f020.docx",
+            "f035.docx"
+        ]
+    },
+    {
+        "id": "F021",
+        "title": "Изследване на стомашно-чревния тракт. Анемнеза. Основни симптоми и синдроми при заболявания на стомашно-чревния тракт",
+        "files": [
+            "f021.docx",
+            "f054.docx"
+        ]
+    },
+    {
+        "id": "F022",
+        "title": "Пиелонефрити",
+        "files": [
+            "f022.docx",
+            "f074.docx"
+        ]
+    },
+    {
+        "id": "F023",
+        "title": "Хемолитични анемии вследствие на вътре и извънеритроцитни фактори, вродени и придобити",
+        "files": [
+            "f023.docx",
+            "f084.docx"
+        ]
+    },
+    {
+        "id": "F024",
+        "title": "Хеморагични диатези – хемофилия, есенциална тромбоцитопения, капиляротоксикоза",
+        "files": [
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\ No newline at end of file