feat: refactor to FastAPI architecture v2.0

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

app/__init__.py

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+"""Scenar Creator - FastAPI application for timetable generation."""

app/api/__init__.py

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+"""API routes for Scenar Creator."""

app/api/pdf.py

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+"""PDF generation API endpoint."""
+
+from io import BytesIO
+
+import pandas as pd
+from fastapi import APIRouter, HTTPException
+from fastapi.responses import StreamingResponse
+
+from app.models.event import ScenarioDocument
+from app.core.validator import validate_inputs, ValidationError, ScenarsError
+from app.core.pdf_generator import generate_pdf
+
+router = APIRouter()
+
+
+@router.post("/generate-pdf")
+async def generate_pdf_endpoint(doc: ScenarioDocument):
+    """Generate PDF timetable from ScenarioDocument."""
+    try:
+        validate_inputs(doc.event.title, doc.event.detail, 0)
+    except ValidationError as e:
+        raise HTTPException(status_code=422, detail=str(e))
+
+    # Convert to DataFrame
+    rows = []
+    for block in doc.blocks:
+        rows.append({
+            'Datum': block.datum,
+            'Zacatek': block.zacatek,
+            'Konec': block.konec,
+            'Program': block.program,
+            'Typ': block.typ,
+            'Garant': block.garant,
+            'Poznamka': block.poznamka,
+        })
+
+    df = pd.DataFrame(rows)
+
+    if df.empty:
+        raise HTTPException(status_code=422, detail="No blocks provided")
+
+    # Build program descriptions and colors
+    program_descriptions = {pt.code: pt.description for pt in doc.program_types}
+    program_colors = {pt.code: 'FF' + pt.color.lstrip('#') for pt in doc.program_types}
+
+    try:
+        pdf_bytes = generate_pdf(df, doc.event.title, doc.event.detail,
+                                 program_descriptions, program_colors)
+    except ScenarsError as e:
+        raise HTTPException(status_code=422, detail=str(e))
+
+    return StreamingResponse(
+        BytesIO(pdf_bytes),
+        media_type="application/pdf",
+        headers={"Content-Disposition": "attachment; filename=scenar_timetable.pdf"}
+    )

app/api/router.py

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+"""Main API router combining all sub-routers."""
+
+from fastapi import APIRouter
+
+from . import scenario, pdf
+
+api_router = APIRouter(prefix="/api")
+
+api_router.include_router(scenario.router)
+api_router.include_router(pdf.router)

app/api/scenario.py

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+"""Scenario API endpoints: validate, import-excel, generate-excel, export-json, template."""
+
+import os
+from io import BytesIO
+from datetime import date, time as dt_time
+
+import pandas as pd
+from fastapi import APIRouter, UploadFile, File, Form, HTTPException
+from fastapi.responses import StreamingResponse, FileResponse
+
+from app.config import VERSION, MAX_FILE_SIZE_MB
+from app.models.event import ScenarioDocument, Block, ProgramType, EventInfo
+from app.models.responses import HealthResponse, ValidationResponse, ImportExcelResponse
+from app.core.validator import validate_inputs, ValidationError, TemplateError, ScenarsError
+from app.core.excel_reader import read_excel, parse_inline_schedule, parse_inline_types
+from app.core.timetable import create_timetable
+
+router = APIRouter()
+
+
+@router.get("/health", response_model=HealthResponse)
+async def health():
+    return HealthResponse(version=VERSION)
+
+
+@router.post("/validate", response_model=ValidationResponse)
+async def validate_scenario(doc: ScenarioDocument):
+    """Validate a ScenarioDocument."""
+    errors = []
+
+    if not doc.blocks:
+        errors.append("No blocks defined")
+
+    if not doc.program_types:
+        errors.append("No program types defined")
+
+    type_codes = {pt.code for pt in doc.program_types}
+    for i, block in enumerate(doc.blocks):
+        if block.typ not in type_codes:
+            errors.append(f"Block {i+1}: unknown type '{block.typ}'")
+        if block.zacatek >= block.konec:
+            errors.append(f"Block {i+1}: start time must be before end time")
+
+    return ValidationResponse(valid=len(errors) == 0, errors=errors)
+
+
+@router.post("/import-excel")
+async def import_excel(
+    file: UploadFile = File(...),
+    title: str = Form("Imported Event"),
+    detail: str = Form("Imported from Excel"),
+):
+    """Upload Excel file and return ScenarioDocument JSON."""
+    content = await file.read()
+
+    if len(content) > MAX_FILE_SIZE_MB * 1024 * 1024:
+        raise HTTPException(status_code=413, detail=f"File exceeds {MAX_FILE_SIZE_MB}MB limit")
+
+    try:
+        valid_data, error_rows = read_excel(content)
+    except TemplateError as e:
+        raise HTTPException(status_code=422, detail=str(e))
+
+    if valid_data.empty:
+        raise HTTPException(status_code=422, detail="No valid rows found in Excel file")
+
+    # Extract unique types
+    types_in_data = valid_data["Typ"].dropna().unique().tolist()
+    program_types = [
+        ProgramType(code=t, description=str(t), color="#0070C0")
+        for t in types_in_data
+    ]
+
+    # Convert rows to blocks
+    blocks = []
+    for _, row in valid_data.iterrows():
+        blocks.append(Block(
+            datum=row["Datum"],
+            zacatek=row["Zacatek"],
+            konec=row["Konec"],
+            program=str(row["Program"]),
+            typ=str(row["Typ"]),
+            garant=str(row["Garant"]) if pd.notna(row.get("Garant")) else None,
+            poznamka=str(row["Poznamka"]) if pd.notna(row.get("Poznamka")) else None,
+        ))
+
+    doc = ScenarioDocument(
+        event=EventInfo(title=title, detail=detail),
+        program_types=program_types,
+        blocks=blocks,
+    )
+
+    warnings = [f"Row {e['index']}: {e.get('error', e.get('Error', 'unknown'))}" for e in error_rows]
+
+    return ImportExcelResponse(
+        success=True,
+        document=doc.model_dump(mode="json"),
+        warnings=warnings,
+    )
+
+
+@router.post("/generate-excel")
+async def generate_excel(doc: ScenarioDocument):
+    """Generate Excel timetable from ScenarioDocument."""
+    try:
+        validate_inputs(doc.event.title, doc.event.detail, 0)
+    except ValidationError as e:
+        raise HTTPException(status_code=422, detail=str(e))
+
+    # Convert to DataFrame
+    rows = []
+    for block in doc.blocks:
+        rows.append({
+            'Datum': block.datum,
+            'Zacatek': block.zacatek,
+            'Konec': block.konec,
+            'Program': block.program,
+            'Typ': block.typ,
+            'Garant': block.garant,
+            'Poznamka': block.poznamka,
+        })
+
+    df = pd.DataFrame(rows)
+
+    if df.empty:
+        raise HTTPException(status_code=422, detail="No blocks provided")
+
+    # Build program descriptions and colors
+    program_descriptions = {pt.code: pt.description for pt in doc.program_types}
+    program_colors = {pt.code: 'FF' + pt.color.lstrip('#') for pt in doc.program_types}
+
+    try:
+        wb = create_timetable(df, doc.event.title, doc.event.detail,
+                              program_descriptions, program_colors)
+    except ScenarsError as e:
+        raise HTTPException(status_code=422, detail=str(e))
+
+    output = BytesIO()
+    wb.save(output)
+    output.seek(0)
+
+    return StreamingResponse(
+        output,
+        media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+        headers={"Content-Disposition": "attachment; filename=scenar_timetable.xlsx"}
+    )
+
+
+@router.post("/export-json")
+async def export_json(doc: ScenarioDocument):
+    """Export ScenarioDocument as JSON."""
+    return doc.model_dump(mode="json")
+
+
+@router.get("/template")
+async def download_template():
+    """Download the Excel template file."""
+    template_path = os.path.join(os.path.dirname(__file__), "..", "..", "templates", "scenar_template.xlsx")
+    template_path = os.path.abspath(template_path)
+
+    if not os.path.exists(template_path):
+        raise HTTPException(status_code=404, detail="Template file not found")
+
+    return FileResponse(
+        template_path,
+        media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+        filename="scenar_template.xlsx"
+    )

app/config.py

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+"""Application configuration."""
+
+VERSION = "2.0.0"
+MAX_FILE_SIZE_MB = 10
+DEFAULT_COLOR = "#ffffff"

app/core/__init__.py

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+"""Core business logic for Scenar Creator."""
+
+from .validator import (
+    ScenarsError,
+    ValidationError,
+    TemplateError,
+    validate_inputs,
+    validate_excel_template,
+    normalize_time,
+)
+from .timetable import create_timetable, calculate_row_height, calculate_column_width
+from .excel_reader import read_excel, get_program_types, parse_inline_schedule, parse_inline_types
+
+__all__ = [
+    "ScenarsError",
+    "ValidationError",
+    "TemplateError",
+    "validate_inputs",
+    "validate_excel_template",
+    "normalize_time",
+    "create_timetable",
+    "calculate_row_height",
+    "calculate_column_width",
+    "read_excel",
+    "get_program_types",
+    "parse_inline_schedule",
+    "parse_inline_types",
+]

app/core/excel_reader.py

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+"""
+Excel reading and form parsing logic for Scenar Creator.
+Extracted from scenar/core.py — read_excel, get_program_types, parse_inline_schedule, parse_inline_types.
+"""
+
+import pandas as pd
+from io import BytesIO
+import logging
+
+from .validator import (
+    validate_excel_template,
+    normalize_time,
+    ValidationError,
+    TemplateError,
+    DEFAULT_COLOR,
+)
+
+logger = logging.getLogger(__name__)
+
+
+def read_excel(file_content: bytes, show_debug: bool = False) -> tuple:
+    """
+    Parse Excel file and return (valid_data, error_rows).
+
+    Handles different column naming conventions:
+    - Old format: Datum, Zacatek, Konec, Program, Typ, Garant, Poznamka
+    - New template: Datum, Zacatek bloku, Konec bloku, Nazev bloku, Typ bloku, Garant, Poznamka
+
+    Returns:
+        tuple: (pandas.DataFrame with valid rows, list of dicts with error details)
+    """
+    try:
+        excel_data = pd.read_excel(BytesIO(file_content), skiprows=0)
+    except Exception as e:
+        raise TemplateError(f"Failed to read Excel file: {str(e)}")
+
+    # Map column names from various possible names to our standard names
+    column_mapping = {
+        'Zacatek bloku': 'Zacatek',
+        'Konec bloku': 'Konec',
+        'Nazev bloku': 'Program',
+        'Typ bloku': 'Typ',
+    }
+
+    excel_data = excel_data.rename(columns=column_mapping)
+
+    # Validate template
+    validate_excel_template(excel_data)
+
+    if show_debug:
+        logger.debug(f"Raw data:\n{excel_data.head()}")
+
+    error_rows = []
+    valid_data = []
+
+    for index, row in excel_data.iterrows():
+        try:
+            datum = pd.to_datetime(row["Datum"], errors='coerce').date()
+            zacatek = normalize_time(str(row["Zacatek"]))
+            konec = normalize_time(str(row["Konec"]))
+
+            if pd.isna(datum) or zacatek is None or konec is None:
+                raise ValueError("Invalid date or time format")
+
+            valid_data.append({
+                "index": index,
+                "Datum": datum,
+                "Zacatek": zacatek,
+                "Konec": konec,
+                "Program": row["Program"],
+                "Typ": row["Typ"],
+                "Garant": row["Garant"],
+                "Poznamka": row["Poznamka"],
+                "row_data": row
+            })
+        except Exception as e:
+            error_rows.append({"index": index, "row": row, "error": str(e)})
+
+    valid_data = pd.DataFrame(valid_data)
+
+    # Early return if no valid rows
+    if valid_data.empty:
+        logger.warning("No valid rows after parsing")
+        return valid_data.drop(columns='index', errors='ignore'), error_rows
+
+    if show_debug:
+        logger.debug(f"Cleaned data:\n{valid_data.head()}")
+        logger.debug(f"Error rows: {error_rows}")
+
+    # Detect overlaps
+    overlap_errors = []
+    for date, group in valid_data.groupby('Datum'):
+        sorted_group = group.sort_values(by='Zacatek')
+        previous_end_time = None
+        for _, r in sorted_group.iterrows():
+            if previous_end_time and r['Zacatek'] < previous_end_time:
+                overlap_errors.append({
+                    "index": r["index"],
+                    "Datum": r["Datum"],
+                    "Zacatek": r["Zacatek"],
+                    "Konec": r["Konec"],
+                    "Program": r["Program"],
+                    "Typ": r["Typ"],
+                    "Garant": r["Garant"],
+                    "Poznamka": r["Poznamka"],
+                    "Error": f"Overlapping time block with previous block ending at {previous_end_time}",
+                    "row_data": r["row_data"]
+                })
+            previous_end_time = r['Konec']
+
+    if overlap_errors:
+        if show_debug:
+            logger.debug(f"Overlap errors: {overlap_errors}")
+        valid_data = valid_data[~valid_data.index.isin([e['index'] for e in overlap_errors])]
+        error_rows.extend(overlap_errors)
+
+    return valid_data.drop(columns='index'), error_rows
+
+
+def get_program_types(form_data: dict) -> tuple:
+    """
+    Extract program types from form data.
+
+    Form fields: type_code_{i}, desc_{i}, color_{i}
+
+    Returns:
+        tuple: (program_descriptions dict, program_colors dict)
+    """
+    program_descriptions = {}
+    program_colors = {}
+
+    def get_value(data, key, default=''):
+        # Support both dict-like and cgi.FieldStorage objects
+        if hasattr(data, 'getvalue'):
+            return data.getvalue(key, default)
+        return data.get(key, default)
+
+    for key in list(form_data.keys()):
+        if key.startswith('type_code_'):
+            index = key.split('_')[-1]
+            type_code = (get_value(form_data, f'type_code_{index}', '') or '').strip()
+            description = (get_value(form_data, f'desc_{index}', '') or '').strip()
+            raw_color = (get_value(form_data, f'color_{index}', DEFAULT_COLOR) or DEFAULT_COLOR)
+
+            if not type_code:
+                continue
+
+            color_hex = 'FF' + str(raw_color).lstrip('#')
+            program_descriptions[type_code] = description
+            program_colors[type_code] = color_hex
+
+    return program_descriptions, program_colors
+
+
+def parse_inline_schedule(form_data) -> pd.DataFrame:
+    """
+    Parse inline schedule form data into DataFrame.
+
+    Form fields:
+      datum_{i}, zacatek_{i}, konec_{i}, program_{i}, typ_{i}, garant_{i}, poznamka_{i}
+
+    Args:
+        form_data: dict or cgi.FieldStorage with form data
+
+    Returns:
+        DataFrame with parsed schedule data
+
+    Raises:
+        ValidationError: if required fields missing or invalid
+    """
+    rows = []
+    row_indices = set()
+
+    # Helper to get value from both dict and FieldStorage
+    def get_value(data, key, default=''):
+        if hasattr(data, 'getvalue'):  # cgi.FieldStorage
+            return data.getvalue(key, default).strip()
+        else:  # dict
+            return data.get(key, default).strip()
+
+    # Find all row indices
+    for key in form_data.keys():
+        if key.startswith('datum_'):
+            idx = key.split('_')[-1]
+            row_indices.add(idx)
+
+    for idx in sorted(row_indices, key=int):
+        datum_str = get_value(form_data, f'datum_{idx}', '')
+        zacatek_str = get_value(form_data, f'zacatek_{idx}', '')
+        konec_str = get_value(form_data, f'konec_{idx}', '')
+        program = get_value(form_data, f'program_{idx}', '')
+        typ = get_value(form_data, f'typ_{idx}', '')
+        garant = get_value(form_data, f'garant_{idx}', '')
+        poznamka = get_value(form_data, f'poznamka_{idx}', '')
+
+        # Skip empty rows
+        if not any([datum_str, zacatek_str, konec_str, program, typ]):
+            continue
+
+        # Validate required fields
+        if not all([datum_str, zacatek_str, konec_str, program, typ]):
+            raise ValidationError(
+                f"Řádek {int(idx)+1}: Všechna povinná pole (Datum, Začátek, Konec, Program, Typ) musí být vyplněna"
+            )
+
+        try:
+            datum = pd.to_datetime(datum_str).date()
+        except Exception:
+            raise ValidationError(f"Řádek {int(idx)+1}: Neplatné datum")
+
+        zacatek = normalize_time(zacatek_str)
+        konec = normalize_time(konec_str)
+
+        if zacatek is None or konec is None:
+            raise ValidationError(f"Řádek {int(idx)+1}: Neplatný čas (použijte HH:MM nebo HH:MM:SS)")
+
+        rows.append({
+            'Datum': datum,
+            'Zacatek': zacatek,
+            'Konec': konec,
+            'Program': program,
+            'Typ': typ,
+            'Garant': garant if garant else None,
+            'Poznamka': poznamka if poznamka else None,
+        })
+
+    if not rows:
+        raise ValidationError("Žádné platné řádky ve formuláři")
+
+    return pd.DataFrame(rows)
+
+
+def parse_inline_types(form_data) -> tuple:
+    """
+    Parse inline type definitions from form data.
+
+    Form fields: type_name_{i}, type_desc_{i}, type_color_{i}
+
+    Args:
+        form_data: dict or cgi.FieldStorage with form data
+
+    Returns:
+        tuple: (program_descriptions dict, program_colors dict)
+    """
+    descriptions = {}
+    colors = {}
+    type_indices = set()
+
+    # Helper to get value from both dict and FieldStorage
+    def get_value(data, key, default=''):
+        if hasattr(data, 'getvalue'):  # cgi.FieldStorage
+            return data.getvalue(key, default).strip()
+        else:  # dict
+            return data.get(key, default).strip()
+
+    # Find all type indices
+    for key in form_data.keys():
+        if key.startswith('type_name_'):
+            idx = key.split('_')[-1]
+            type_indices.add(idx)
+
+    for idx in sorted(type_indices, key=int):
+        type_name = get_value(form_data, f'type_name_{idx}', '')
+        type_desc = get_value(form_data, f'type_desc_{idx}', '')
+        type_color = get_value(form_data, f'type_color_{idx}', DEFAULT_COLOR)
+
+        # Skip empty types
+        if not type_name:
+            continue
+
+        descriptions[type_name] = type_desc
+        colors[type_name] = 'FF' + type_color.lstrip('#')
+
+    return descriptions, colors

app/core/pdf_generator.py

@@ -0,0 +1,194 @@
+"""
+PDF generation for Scenar Creator using ReportLab.
+Generates A4 landscape timetable PDF with colored blocks and legend.
+"""
+
+import pandas as pd
+from io import BytesIO
+from datetime import datetime
+from reportlab.lib import colors
+from reportlab.lib.pagesizes import A4, landscape
+from reportlab.lib.units import mm
+from reportlab.platypus import SimpleDocTemplate, Table, TableStyle, Paragraph, Spacer
+from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
+from reportlab.lib.enums import TA_CENTER, TA_LEFT
+import logging
+
+from .validator import ScenarsError
+
+logger = logging.getLogger(__name__)
+
+
+def hex_to_reportlab_color(hex_color: str) -> colors.Color:
+    """Convert hex color (AARRGGBB or #RRGGBB) to ReportLab color."""
+    h = hex_color.lstrip('#')
+    if len(h) == 8:  # AARRGGBB format
+        h = h[2:]  # strip alpha
+    if len(h) == 6:
+        r, g, b = int(h[0:2], 16), int(h[2:4], 16), int(h[4:6], 16)
+        return colors.Color(r / 255.0, g / 255.0, b / 255.0)
+    return colors.white
+
+
+def generate_pdf(data: pd.DataFrame, title: str, detail: str,
+                 program_descriptions: dict, program_colors: dict) -> bytes:
+    """
+    Generate a PDF timetable.
+
+    Args:
+        data: DataFrame with validated schedule data
+        title: Event title
+        detail: Event detail/description
+        program_descriptions: {type: description}
+        program_colors: {type: color_hex in AARRGGBB format}
+
+    Returns:
+        bytes: PDF file content
+
+    Raises:
+        ScenarsError: if data is invalid
+    """
+    if data.empty:
+        raise ScenarsError("Data is empty after validation")
+
+    missing_types = [typ for typ in data["Typ"].unique() if typ not in program_colors]
+    if missing_types:
+        raise ScenarsError(
+            f"Missing type definitions: {', '.join(missing_types)}. "
+            "Please define all program types."
+        )
+
+    buffer = BytesIO()
+    doc = SimpleDocTemplate(
+        buffer,
+        pagesize=landscape(A4),
+        leftMargin=10 * mm,
+        rightMargin=10 * mm,
+        topMargin=10 * mm,
+        bottomMargin=10 * mm,
+    )
+
+    styles = getSampleStyleSheet()
+    title_style = ParagraphStyle(
+        'TimetableTitle', parent=styles['Title'],
+        fontSize=18, alignment=TA_CENTER, spaceAfter=2 * mm
+    )
+    detail_style = ParagraphStyle(
+        'TimetableDetail', parent=styles['Normal'],
+        fontSize=12, alignment=TA_CENTER, spaceAfter=4 * mm,
+        textColor=colors.gray
+    )
+    cell_style = ParagraphStyle(
+        'CellStyle', parent=styles['Normal'],
+        fontSize=7, alignment=TA_CENTER, leading=9
+    )
+    legend_style = ParagraphStyle(
+        'LegendStyle', parent=styles['Normal'],
+        fontSize=8, alignment=TA_LEFT
+    )
+
+    elements = []
+    elements.append(Paragraph(title, title_style))
+    elements.append(Paragraph(detail, detail_style))
+
+    data = data.sort_values(by=["Datum", "Zacatek"])
+
+    start_times = data["Zacatek"]
+    end_times = data["Konec"]
+
+    min_time = min(start_times)
+    max_time = max(end_times)
+
+    time_slots = pd.date_range(
+        datetime.combine(datetime.today(), min_time),
+        datetime.combine(datetime.today(), max_time),
+        freq='15min'
+    ).time
+
+    # Build header row
+    header = ["Datum"] + [t.strftime("%H:%M") for t in time_slots]
+
+    table_data = [header]
+    cell_colors = []  # list of (row, col, color) for styling
+
+    grouped_data = data.groupby(data['Datum'])
+    row_idx = 1
+
+    for date_val, group in grouped_data:
+        day_name = date_val.strftime("%A")
+        date_str = date_val.strftime(f"%d.%m {day_name}")
+
+        row = [date_str] + [""] * len(time_slots)
+        table_data.append(row)
+        row_idx += 1
+
+        # Create a sub-row for blocks
+        block_row = [""] * (len(time_slots) + 1)
+        for _, blk in group.iterrows():
+            try:
+                start_idx = list(time_slots).index(blk["Zacatek"]) + 1
+                end_idx = list(time_slots).index(blk["Konec"]) + 1
+            except ValueError:
+                continue
+
+            label = blk['Program']
+            if pd.notna(blk.get('Garant')):
+                label += f"\n{blk['Garant']}"
+
+            block_row[start_idx] = Paragraph(label.replace('\n', '<br/>'), cell_style)
+
+            rl_color = hex_to_reportlab_color(program_colors[blk["Typ"]])
+            for ci in range(start_idx, end_idx):
+                cell_colors.append((row_idx, ci, rl_color))
+
+        table_data.append(block_row)
+        row_idx += 1
+
+    # Calculate column widths
+    avail_width = landscape(A4)[0] - 20 * mm
+    date_col_width = 30 * mm
+    slot_width = max(12 * mm, (avail_width - date_col_width) / max(len(time_slots), 1))
+    col_widths = [date_col_width] + [slot_width] * len(time_slots)
+
+    table = Table(table_data, colWidths=col_widths, repeatRows=1)
+
+    style_cmds = [
+        ('BACKGROUND', (0, 0), (-1, 0), colors.Color(0.83, 0.83, 0.83)),
+        ('TEXTCOLOR', (0, 0), (-1, 0), colors.black),
+        ('ALIGN', (0, 0), (-1, -1), 'CENTER'),
+        ('VALIGN', (0, 0), (-1, -1), 'MIDDLE'),
+        ('FONTSIZE', (0, 0), (-1, 0), 7),
+        ('FONTSIZE', (0, 1), (-1, -1), 6),
+        ('GRID', (0, 0), (-1, -1), 0.5, colors.black),
+        ('ROWBACKGROUNDS', (0, 1), (-1, -1), [colors.white, colors.Color(0.97, 0.97, 0.97)]),
+    ]
+
+    for r, c, clr in cell_colors:
+        style_cmds.append(('BACKGROUND', (c, r), (c, r), clr))
+
+    table.setStyle(TableStyle(style_cmds))
+    elements.append(table)
+
+    # Legend
+    elements.append(Spacer(1, 5 * mm))
+    elements.append(Paragraph("<b>Legenda:</b>", legend_style))
+
+    legend_data = []
+    legend_colors_list = []
+    for i, (typ, desc) in enumerate(program_descriptions.items()):
+        legend_data.append([Paragraph(f"{desc} ({typ})", legend_style)])
+        legend_colors_list.append(hex_to_reportlab_color(program_colors[typ]))
+
+    if legend_data:
+        legend_table = Table(legend_data, colWidths=[80 * mm])
+        legend_cmds = [
+            ('GRID', (0, 0), (-1, -1), 0.5, colors.black),
+            ('VALIGN', (0, 0), (-1, -1), 'MIDDLE'),
+        ]
+        for i, clr in enumerate(legend_colors_list):
+            legend_cmds.append(('BACKGROUND', (0, i), (0, i), clr))
+        legend_table.setStyle(TableStyle(legend_cmds))
+        elements.append(legend_table)
+
+    doc.build(elements)
+    return buffer.getvalue()

app/core/timetable.py

@@ -0,0 +1,242 @@
+"""
+Timetable generation logic for Scenar Creator.
+Extracted from scenar/core.py — create_timetable (Excel output).
+"""
+
+import pandas as pd
+from openpyxl import Workbook
+from openpyxl.styles import Alignment, Border, Font, PatternFill, Side
+from openpyxl.utils import get_column_letter
+from datetime import datetime
+import logging
+
+from .validator import ScenarsError
+
+logger = logging.getLogger(__name__)
+
+
+def calculate_row_height(cell_value, column_width):
+    """Calculate row height based on content."""
+    if not cell_value:
+        return 15
+    max_line_length = column_width * 1.2
+    lines = str(cell_value).split('\n')
+    line_count = 0
+    for line in lines:
+        line_count += len(line) // max_line_length + 1
+    return line_count * 15
+
+
+def calculate_column_width(text):
+    """Calculate column width based on text length."""
+    max_length = max(len(line) for line in str(text).split('\n'))
+    return max_length * 1.2
+
+
+def create_timetable(data: pd.DataFrame, title: str, detail: str,
+                     program_descriptions: dict, program_colors: dict) -> Workbook:
+    """
+    Create an OpenPyXL timetable workbook.
+
+    Args:
+        data: DataFrame with validated schedule data
+        title: Event title
+        detail: Event detail/description
+        program_descriptions: {type: description}
+        program_colors: {type: color_hex}
+
+    Returns:
+        openpyxl.Workbook
+
+    Raises:
+        ScenarsError: if data is invalid or types are missing
+    """
+    if data.empty:
+        raise ScenarsError("Data is empty after validation")
+
+    missing_types = [typ for typ in data["Typ"].unique() if typ not in program_colors]
+    if missing_types:
+        raise ScenarsError(
+            f"Missing type definitions: {', '.join(missing_types)}. "
+            "Please define all program types."
+        )
+
+    wb = Workbook()
+    ws = wb.active
+
+    thick_border = Border(left=Side(style='thick', color='000000'),
+                          right=Side(style='thick', color='000000'),
+                          top=Side(style='thick', color='000000'),
+                          bottom=Side(style='thick', color='000000'))
+
+    # Title and detail
+    ws['A1'] = title
+    ws['A1'].alignment = Alignment(horizontal="center", vertical="center")
+    ws['A1'].font = Font(size=24, bold=True)
+    ws['A1'].border = thick_border
+
+    ws['A2'] = detail
+    ws['A2'].alignment = Alignment(horizontal="center", vertical="center")
+    ws['A2'].font = Font(size=16, italic=True)
+    ws['A2'].border = thick_border
+
+    if ws.column_dimensions[get_column_letter(1)].width is None:
+        ws.column_dimensions[get_column_letter(1)].width = 40
+
+    title_row_height = calculate_row_height(title, ws.column_dimensions[get_column_letter(1)].width)
+    detail_row_height = calculate_row_height(detail, ws.column_dimensions[get_column_letter(1)].width)
+    ws.row_dimensions[1].height = title_row_height
+    ws.row_dimensions[2].height = detail_row_height
+
+    data = data.sort_values(by=["Datum", "Zacatek"])
+
+    start_times = data["Zacatek"]
+    end_times = data["Konec"]
+
+    if start_times.isnull().any() or end_times.isnull().any():
+        raise ScenarsError("Data contains invalid time values")
+
+    try:
+        min_time = min(start_times)
+        max_time = max(end_times)
+    except ValueError as e:
+        raise ScenarsError(f"Error determining time range: {e}")
+
+    time_slots = pd.date_range(
+        datetime.combine(datetime.today(), min_time),
+        datetime.combine(datetime.today(), max_time),
+        freq='15min'
+    ).time
+
+    total_columns = len(time_slots) + 1
+    ws.merge_cells(start_row=1, start_column=1, end_row=1, end_column=total_columns)
+    ws.merge_cells(start_row=2, start_column=1, end_row=2, end_column=total_columns)
+
+    row_offset = 3
+    col_offset = 1
+    cell = ws.cell(row=row_offset, column=col_offset, value="Datum")
+    cell.fill = PatternFill(start_color="D3D3D3", end_color="D3D3D3", fill_type="solid")
+    cell.alignment = Alignment(horizontal="center", vertical="center")
+    cell.font = Font(bold=True)
+    cell.border = thick_border
+
+    for i, time_slot in enumerate(time_slots, start=col_offset + 1):
+        cell = ws.cell(row=row_offset, column=i, value=time_slot.strftime("%H:%M"))
+        cell.fill = PatternFill(start_color="D3D3D3", end_color="D3D3D3", fill_type="solid")
+        cell.alignment = Alignment(horizontal="center", vertical="center")
+        cell.font = Font(bold=True)
+        cell.border = thick_border
+
+    current_row = row_offset + 1
+    grouped_data = data.groupby(data['Datum'])
+
+    for date, group in grouped_data:
+        day_name = date.strftime("%A")
+        date_str = date.strftime(f"%d.%m {day_name}")
+
+        cell = ws.cell(row=current_row, column=col_offset, value=date_str)
+        cell.alignment = Alignment(horizontal="center", vertical="center")
+        cell.fill = PatternFill(start_color="D3D3D3", end_color="D3D3D3", fill_type="solid")
+        cell.font = Font(bold=True, size=14)
+        cell.border = thick_border
+
+        # Track which cells are already filled (for overlap detection)
+        date_row = current_row
+        occupied_cells = set()  # (row, col) pairs already filled
+
+        for _, row in group.iterrows():
+            start_time = row["Zacatek"]
+            end_time = row["Konec"]
+            try:
+                start_index = list(time_slots).index(start_time) + col_offset + 1
+                end_index = list(time_slots).index(end_time) + col_offset + 1
+            except ValueError as e:
+                logger.error(f"Time slot not found: {start_time} to {end_time}")
+                continue
+
+            cell_value = f"{row['Program']}"
+            if pd.notna(row['Garant']):
+                cell_value += f"\n{row['Garant']}"
+            if pd.notna(row['Poznamka']):
+                cell_value += f"\n\n{row['Poznamka']}"
+
+            # Check for overlaps
+            working_row = date_row + 1
+            conflict = False
+            for col in range(start_index, end_index):
+                if (working_row, col) in occupied_cells:
+                    conflict = True
+                    break
+
+            # If conflict, find next available row
+            if conflict:
+                while any((working_row, col) in occupied_cells for col in range(start_index, end_index)):
+                    working_row += 1
+
+            # Mark cells as occupied
+            for col in range(start_index, end_index):
+                occupied_cells.add((working_row, col))
+
+            try:
+                ws.merge_cells(start_row=working_row, start_column=start_index,
+                              end_row=working_row, end_column=end_index - 1)
+                # Get the first cell of the merge (not the merged cell)
+                cell = ws.cell(row=working_row, column=start_index)
+                cell.value = cell_value
+
+            except Exception as e:
+                raise ScenarsError(f"Error creating timetable cell: {str(e)}")
+
+            cell.alignment = Alignment(wrap_text=True, horizontal="center", vertical="center")
+            lines = str(cell_value).split("\n")
+            for idx, _ in enumerate(lines):
+                if idx == 0:
+                    cell.font = Font(bold=True)
+                elif idx == 1:
+                    cell.font = Font(bold=False)
+                elif idx > 1 and pd.notna(row['Poznamka']):
+                    cell.font = Font(italic=True)
+
+            cell.fill = PatternFill(start_color=program_colors[row["Typ"]],
+                                    end_color=program_colors[row["Typ"]],
+                                    fill_type="solid")
+            cell.border = thick_border
+
+        # Update current_row to be after all rows for this date
+        if occupied_cells:
+            max_row_for_date = max(r for r, c in occupied_cells)
+            current_row = max_row_for_date + 1
+        else:
+            current_row += 1
+
+    # Legend
+    legend_row = current_row + 2
+    legend_max_length = 0
+    ws.cell(row=legend_row, column=1, value="Legenda:").font = Font(bold=True)
+    legend_row += 1
+    for typ, desc in program_descriptions.items():
+        legend_text = f"{desc} ({typ})"
+        legend_cell = ws.cell(row=legend_row, column=1, value=legend_text)
+        legend_cell.fill = PatternFill(start_color=program_colors[typ], fill_type="solid")
+        legend_max_length = max(legend_max_length, calculate_column_width(legend_text))
+        legend_row += 1
+
+    ws.column_dimensions[get_column_letter(1)].width = legend_max_length
+    for col in range(2, total_columns + 1):
+        ws.column_dimensions[get_column_letter(col)].width = 15
+
+    for row in ws.iter_rows(min_row=1, max_row=current_row - 1, min_col=1, max_col=total_columns):
+        for cell in row:
+            cell.alignment = Alignment(wrap_text=True, horizontal="center", vertical="center")
+            cell.border = thick_border
+
+    for row in ws.iter_rows(min_row=1, max_row=current_row - 1):
+        max_height = 0
+        for cell in row:
+            if cell.value:
+                height = calculate_row_height(cell.value, ws.column_dimensions[get_column_letter(cell.column)].width)
+                if height > max_height:
+                    max_height = height
+        ws.row_dimensions[row[0].row].height = max_height
+
+    return wb

app/core/validator.py

@@ -0,0 +1,69 @@
+"""
+Validation logic for Scenar Creator.
+Extracted from scenar/core.py — validate_inputs, validate_excel_template, overlap detection.
+"""
+
+import pandas as pd
+from datetime import datetime
+import logging
+
+logger = logging.getLogger(__name__)
+
+DEFAULT_COLOR = "#ffffff"
+MAX_FILE_SIZE_MB = 10
+REQUIRED_COLUMNS = ["Datum", "Zacatek", "Konec", "Program", "Typ", "Garant", "Poznamka"]
+
+
+class ScenarsError(Exception):
+    """Base exception for Scenar Creator."""
+    pass
+
+
+class ValidationError(ScenarsError):
+    """Raised when input validation fails."""
+    pass
+
+
+class TemplateError(ScenarsError):
+    """Raised when Excel template is invalid."""
+    pass
+
+
+def validate_inputs(title: str, detail: str, file_size: int) -> None:
+    """Validate user inputs for security and sanity."""
+    if not title or not isinstance(title, str):
+        raise ValidationError("Title is required and must be a string")
+    if len(title.strip()) == 0:
+        raise ValidationError("Title cannot be empty")
+    if len(title) > 200:
+        raise ValidationError("Title is too long (max 200 characters)")
+
+    if not detail or not isinstance(detail, str):
+        raise ValidationError("Detail is required and must be a string")
+    if len(detail.strip()) == 0:
+        raise ValidationError("Detail cannot be empty")
+    if len(detail) > 500:
+        raise ValidationError("Detail is too long (max 500 characters)")
+
+    if file_size > MAX_FILE_SIZE_MB * 1024 * 1024:
+        raise ValidationError(f"File size exceeds {MAX_FILE_SIZE_MB} MB limit")
+
+
+def normalize_time(time_str: str):
+    """Parse time string in formats %H:%M or %H:%M:%S."""
+    for fmt in ('%H:%M', '%H:%M:%S'):
+        try:
+            return datetime.strptime(time_str, fmt).time()
+        except ValueError:
+            continue
+    return None
+
+
+def validate_excel_template(df: pd.DataFrame) -> None:
+    """Validate that Excel has required columns."""
+    missing_cols = set(REQUIRED_COLUMNS) - set(df.columns)
+    if missing_cols:
+        raise TemplateError(
+            f"Excel template missing required columns: {', '.join(missing_cols)}. "
+            f"Expected: {', '.join(REQUIRED_COLUMNS)}"
+        )

app/main.py

@@ -0,0 +1,26 @@
+"""FastAPI application entry point."""
+
+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import FileResponse
+import os
+
+from app.api.router import api_router
+from app.config import VERSION
+
+app = FastAPI(
+    title="Scenar Creator",
+    description="Web tool for creating timetable scenarios from Excel or inline forms",
+    version=VERSION,
+)
+
+app.include_router(api_router)
+
+# Static files
+static_dir = os.path.join(os.path.dirname(__file__), "static")
+app.mount("/static", StaticFiles(directory=static_dir), name="static")
+
+
+@app.get("/", include_in_schema=False)
+async def root():
+    return FileResponse(os.path.join(static_dir, "index.html"))

app/models/__init__.py

@@ -0,0 +1,3 @@
+from .event import Block, ProgramType, EventInfo, ScenarioDocument
+
+__all__ = ["Block", "ProgramType", "EventInfo", "ScenarioDocument"]

app/models/event.py

@@ -0,0 +1,34 @@
+"""Pydantic v2 models for Scenar Creator."""
+
+from datetime import date, time
+from typing import List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class Block(BaseModel):
+    datum: date
+    zacatek: time
+    konec: time
+    program: str
+    typ: str
+    garant: Optional[str] = None
+    poznamka: Optional[str] = None
+
+
+class ProgramType(BaseModel):
+    code: str
+    description: str
+    color: str  # hex #RRGGBB
+
+
+class EventInfo(BaseModel):
+    title: str = Field(..., max_length=200)
+    detail: str = Field(..., max_length=500)
+
+
+class ScenarioDocument(BaseModel):
+    version: str = "1.0"
+    event: EventInfo
+    program_types: List[ProgramType]
+    blocks: List[Block]

app/models/responses.py

@@ -0,0 +1,22 @@
+"""API response models."""
+
+from typing import Any, List, Optional
+
+from pydantic import BaseModel
+
+
+class HealthResponse(BaseModel):
+    status: str = "ok"
+    version: str
+
+
+class ValidationResponse(BaseModel):
+    valid: bool
+    errors: List[str] = []
+
+
+class ImportExcelResponse(BaseModel):
+    success: bool
+    document: Optional[Any] = None
+    errors: List[str] = []
+    warnings: List[str] = []

app/static/css/app.css

@@ -0,0 +1,293 @@
+* {
+    box-sizing: border-box;
+    margin: 0;
+    padding: 0;
+}
+
+body {
+    font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
+    background: #f5f5f5;
+    color: #333;
+    line-height: 1.6;
+}
+
+.container {
+    max-width: 1200px;
+    margin: 0 auto;
+    padding: 20px;
+}
+
+h1 {
+    text-align: center;
+    color: #2c3e50;
+    margin-bottom: 5px;
+}
+
+.subtitle {
+    text-align: center;
+    color: #7f8c8d;
+    margin-bottom: 20px;
+}
+
+/* Tabs */
+.tabs {
+    display: flex;
+    gap: 0;
+    margin-bottom: 0;
+    border-bottom: 2px solid #3498db;
+}
+
+.tab {
+    padding: 10px 24px;
+    border: 1px solid #ddd;
+    border-bottom: none;
+    background: #ecf0f1;
+    cursor: pointer;
+    font-size: 14px;
+    border-radius: 6px 6px 0 0;
+    transition: background 0.2s;
+}
+
+.tab.active {
+    background: #fff;
+    border-color: #3498db;
+    border-bottom: 2px solid #fff;
+    margin-bottom: -2px;
+    font-weight: bold;
+}
+
+.tab:hover:not(.active) {
+    background: #d5dbdb;
+}
+
+.tab-content {
+    display: none;
+    background: #fff;
+    padding: 20px;
+    border: 1px solid #ddd;
+    border-top: none;
+    border-radius: 0 0 6px 6px;
+}
+
+.tab-content.active {
+    display: block;
+}
+
+/* Form */
+.form-group {
+    margin-bottom: 15px;
+}
+
+.form-group label {
+    display: block;
+    font-weight: 600;
+    margin-bottom: 4px;
+}
+
+.form-group input[type="text"],
+.form-group input[type="file"] {
+    width: 100%;
+    padding: 8px 12px;
+    border: 1px solid #ccc;
+    border-radius: 4px;
+    font-size: 14px;
+}
+
+.form-actions {
+    margin-top: 20px;
+    display: flex;
+    gap: 10px;
+}
+
+/* Buttons */
+.btn {
+    display: inline-block;
+    padding: 10px 20px;
+    border: none;
+    border-radius: 4px;
+    cursor: pointer;
+    font-size: 14px;
+    text-decoration: none;
+    text-align: center;
+    transition: background 0.2s;
+}
+
+.btn-primary {
+    background: #3498db;
+    color: #fff;
+}
+
+.btn-primary:hover {
+    background: #2980b9;
+}
+
+.btn-secondary {
+    background: #95a5a6;
+    color: #fff;
+}
+
+.btn-secondary:hover {
+    background: #7f8c8d;
+}
+
+.btn-danger {
+    background: #e74c3c;
+    color: #fff;
+}
+
+.btn-danger:hover {
+    background: #c0392b;
+}
+
+.btn-sm {
+    padding: 4px 10px;
+    font-size: 12px;
+}
+
+/* Types */
+.type-row {
+    display: flex;
+    gap: 8px;
+    margin-bottom: 8px;
+    align-items: center;
+}
+
+.type-row input[type="text"] {
+    flex: 1;
+    padding: 6px 10px;
+    border: 1px solid #ccc;
+    border-radius: 4px;
+}
+
+.type-row input[type="color"] {
+    width: 40px;
+    height: 32px;
+    border: 1px solid #ccc;
+    border-radius: 4px;
+    cursor: pointer;
+}
+
+.type-code {
+    max-width: 200px;
+}
+
+/* Schedule table */
+#scheduleTable {
+    width: 100%;
+    border-collapse: collapse;
+    margin: 10px 0;
+}
+
+#scheduleTable th,
+#scheduleTable td {
+    padding: 6px 8px;
+    border: 1px solid #ddd;
+    text-align: left;
+}
+
+#scheduleTable th {
+    background: #ecf0f1;
+    font-weight: 600;
+    font-size: 13px;
+}
+
+#scheduleTable input {
+    width: 100%;
+    padding: 4px 6px;
+    border: 1px solid #ccc;
+    border-radius: 3px;
+    font-size: 13px;
+}
+
+#scheduleTable input[type="date"] {
+    min-width: 130px;
+}
+
+#scheduleTable input[type="time"] {
+    min-width: 90px;
+}
+
+/* Editor area */
+.editor-area {
+    background: #fff;
+    padding: 20px;
+    border: 1px solid #ddd;
+    border-radius: 6px;
+    margin-top: 20px;
+}
+
+.editor-area h2 {
+    margin-bottom: 10px;
+    color: #2c3e50;
+}
+
+.editor-area h3 {
+    margin: 15px 0 8px;
+    color: #34495e;
+}
+
+/* Imported type editor */
+.imported-type-row {
+    display: flex;
+    gap: 8px;
+    margin-bottom: 6px;
+    align-items: center;
+}
+
+.imported-type-row input[type="text"] {
+    flex: 1;
+    padding: 5px 8px;
+    border: 1px solid #ccc;
+    border-radius: 3px;
+}
+
+.imported-type-row input[type="color"] {
+    width: 36px;
+    height: 28px;
+    border: 1px solid #ccc;
+    border-radius: 3px;
+}
+
+/* Block list */
+.block-item {
+    background: #f9f9f9;
+    padding: 8px 12px;
+    margin-bottom: 4px;
+    border-radius: 4px;
+    border-left: 4px solid #3498db;
+    font-size: 13px;
+}
+
+/* Status message */
+.status-message {
+    margin-top: 15px;
+    padding: 12px;
+    border-radius: 4px;
+    font-size: 14px;
+}
+
+.status-message.success {
+    background: #d5f5e3;
+    color: #27ae60;
+    border: 1px solid #27ae60;
+}
+
+.status-message.error {
+    background: #fadbd8;
+    color: #e74c3c;
+    border: 1px solid #e74c3c;
+}
+
+/* JSON import */
+.json-import {
+    margin-top: 20px;
+    padding: 10px;
+    background: #fafafa;
+    border-radius: 4px;
+    font-size: 13px;
+}
+
+h3 {
+    margin: 20px 0 10px;
+    color: #2c3e50;
+}

app/static/index.html

@@ -0,0 +1,134 @@
+<!DOCTYPE html>
+<html lang="cs">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Scenar Creator</title>
+    <link rel="stylesheet" href="/static/css/app.css">
+</head>
+<body>
+    <div class="container">
+        <h1>Scenar Creator</h1>
+        <p class="subtitle">Tvorba časových harmonogramů</p>
+
+        <!-- Tabs -->
+        <div class="tabs">
+            <button class="tab active" onclick="switchTab(event, 'importTab')">Importovat Excel</button>
+            <button class="tab" onclick="switchTab(event, 'builderTab')">Vytvořit inline</button>
+        </div>
+
+        <!-- Import Excel Tab -->
+        <div id="importTab" class="tab-content active">
+            <form id="importForm" onsubmit="return handleImport(event)">
+                <div class="form-group">
+                    <label for="importTitle">Název akce:</label>
+                    <input type="text" id="importTitle" name="title" maxlength="200" required placeholder="Název události">
+                </div>
+                <div class="form-group">
+                    <label for="importDetail">Detail:</label>
+                    <input type="text" id="importDetail" name="detail" maxlength="500" required placeholder="Popis události">
+                </div>
+                <div class="form-group">
+                    <label for="excelFile">Excel soubor:</label>
+                    <input type="file" id="excelFile" name="file" accept=".xlsx,.xls" required>
+                </div>
+                <div class="form-actions">
+                    <button type="submit" class="btn btn-primary">Importovat</button>
+                    <a href="/api/template" class="btn btn-secondary">Stáhnout šablonu</a>
+                </div>
+            </form>
+        </div>
+
+        <!-- Builder Tab -->
+        <div id="builderTab" class="tab-content">
+            <form id="builderForm" onsubmit="return handleBuild(event)">
+                <div class="form-group">
+                    <label for="builderTitle">Název akce:</label>
+                    <input type="text" id="builderTitle" name="title" maxlength="200" required placeholder="Název události">
+                </div>
+                <div class="form-group">
+                    <label for="builderDetail">Detail:</label>
+                    <input type="text" id="builderDetail" name="detail" maxlength="500" required placeholder="Popis události">
+                </div>
+
+                <h3>Typy programů</h3>
+                <div id="typesContainer">
+                    <div class="type-row" data-index="0">
+                        <input type="text" name="type_name_0" placeholder="Kód typu (např. WORKSHOP)" class="type-code">
+                        <input type="text" name="type_desc_0" placeholder="Popis">
+                        <input type="color" name="type_color_0" value="#0070C0">
+                        <button type="button" class="btn btn-danger btn-sm" onclick="removeTypeRow(0)">X</button>
+                    </div>
+                </div>
+                <button type="button" class="btn btn-secondary btn-sm" onclick="addTypeRow()">+ Přidat typ</button>
+
+                <h3>Časový harmonogram</h3>
+                <datalist id="availableTypes"></datalist>
+                <div id="scheduleContainer">
+                    <table id="scheduleTable">
+                        <thead>
+                            <tr>
+                                <th>Datum</th>
+                                <th>Začátek</th>
+                                <th>Konec</th>
+                                <th>Program</th>
+                                <th>Typ</th>
+                                <th>Garant</th>
+                                <th>Poznámka</th>
+                                <th></th>
+                            </tr>
+                        </thead>
+                        <tbody id="scheduleBody">
+                            <tr data-index="0">
+                                <td><input type="date" name="datum_0" required></td>
+                                <td><input type="time" name="zacatek_0" required></td>
+                                <td><input type="time" name="konec_0" required></td>
+                                <td><input type="text" name="program_0" required placeholder="Název bloku"></td>
+                                <td><input type="text" name="typ_0" list="availableTypes" required placeholder="Typ"></td>
+                                <td><input type="text" name="garant_0" placeholder="Garant"></td>
+                                <td><input type="text" name="poznamka_0" placeholder="Poznámka"></td>
+                                <td><button type="button" class="btn btn-danger btn-sm" onclick="removeScheduleRow(0)">X</button></td>
+                            </tr>
+                        </tbody>
+                    </table>
+                </div>
+                <button type="button" class="btn btn-secondary btn-sm" onclick="addScheduleRow()">+ Přidat řádek</button>
+
+                <div class="form-actions">
+                    <button type="submit" class="btn btn-primary" name="format" value="excel">Stáhnout Excel</button>
+                    <button type="button" class="btn btn-primary" onclick="handleBuildPdf()">Stáhnout PDF</button>
+                </div>
+            </form>
+        </div>
+
+        <!-- Import results / editor area -->
+        <div id="editorArea" class="editor-area" style="display:none;">
+            <h2>Importovaná data</h2>
+            <div id="importedInfo"></div>
+
+            <h3>Typy programů</h3>
+            <div id="importedTypesContainer"></div>
+
+            <h3>Bloky</h3>
+            <div id="importedBlocksContainer"></div>
+
+            <div class="form-actions">
+                <button class="btn btn-primary" onclick="generateExcelFromImport()">Stáhnout Excel</button>
+                <button class="btn btn-primary" onclick="generatePdfFromImport()">Stáhnout PDF</button>
+                <button class="btn btn-secondary" onclick="exportJson()">Exportovat JSON</button>
+            </div>
+        </div>
+
+        <!-- JSON import -->
+        <div class="json-import">
+            <label>Importovat JSON: <input type="file" id="jsonFile" accept=".json" onchange="handleJsonImport(event)"></label>
+        </div>
+
+        <div id="statusMessage" class="status-message" style="display:none;"></div>
+    </div>
+
+    <script src="/static/js/api.js"></script>
+    <script src="/static/js/export.js"></script>
+    <script src="/static/js/app.js"></script>
+</body>
+</html>

app/static/js/api.js

@@ -0,0 +1,61 @@
+/**
+ * API fetch wrapper for Scenar Creator.
+ */
+
+const API = {
+    async post(url, body, isJson = true) {
+        const opts = { method: 'POST' };
+        if (isJson) {
+            opts.headers = { 'Content-Type': 'application/json' };
+            opts.body = JSON.stringify(body);
+        } else {
+            opts.body = body; // FormData
+        }
+        const res = await fetch(url, opts);
+        return res;
+    },
+
+    async postJson(url, body) {
+        const res = await this.post(url, body, true);
+        if (!res.ok) {
+            const err = await res.json().catch(() => ({ detail: res.statusText }));
+            throw new Error(err.detail || 'API error');
+        }
+        return res.json();
+    },
+
+    async postBlob(url, body) {
+        const res = await this.post(url, body, true);
+        if (!res.ok) {
+            const err = await res.json().catch(() => ({ detail: res.statusText }));
+            throw new Error(err.detail || 'API error');
+        }
+        return res.blob();
+    },
+
+    async postFormData(url, formData) {
+        const res = await this.post(url, formData, false);
+        if (!res.ok) {
+            const err = await res.json().catch(() => ({ detail: res.statusText }));
+            throw new Error(err.detail || 'API error');
+        }
+        return res.json();
+    },
+
+    async get(url) {
+        const res = await fetch(url);
+        if (!res.ok) throw new Error(res.statusText);
+        return res.json();
+    },
+
+    downloadBlob(blob, filename) {
+        const url = URL.createObjectURL(blob);
+        const a = document.createElement('a');
+        a.href = url;
+        a.download = filename;
+        document.body.appendChild(a);
+        a.click();
+        document.body.removeChild(a);
+        URL.revokeObjectURL(url);
+    }
+};

app/static/js/app.js

@@ -0,0 +1,258 @@
+/**
+ * Main application logic for Scenar Creator SPA.
+ */
+
+window.currentDocument = null;
+let typeCounter = 1;
+let scheduleCounter = 1;
+
+/* --- Tab switching --- */
+function switchTab(event, tabId) {
+    document.querySelectorAll('.tab').forEach(t => t.classList.remove('active'));
+    document.querySelectorAll('.tab-content').forEach(c => c.classList.remove('active'));
+    event.target.classList.add('active');
+    document.getElementById(tabId).classList.add('active');
+}
+
+/* --- Status messages --- */
+function showStatus(message, type) {
+    const el = document.getElementById('statusMessage');
+    el.textContent = message;
+    el.className = 'status-message ' + type;
+    el.style.display = 'block';
+    setTimeout(() => { el.style.display = 'none'; }, 5000);
+}
+
+/* --- Type management --- */
+function addTypeRow() {
+    const container = document.getElementById('typesContainer');
+    const idx = typeCounter++;
+    const div = document.createElement('div');
+    div.className = 'type-row';
+    div.setAttribute('data-index', idx);
+    div.innerHTML = `
+        <input type="text" name="type_name_${idx}" placeholder="Kód typu" class="type-code">
+        <input type="text" name="type_desc_${idx}" placeholder="Popis">
+        <input type="color" name="type_color_${idx}" value="#0070C0">
+        <button type="button" class="btn btn-danger btn-sm" onclick="removeTypeRow(${idx})">X</button>
+    `;
+    container.appendChild(div);
+    updateTypeDatalist();
+}
+
+function removeTypeRow(idx) {
+    const row = document.querySelector(`.type-row[data-index="${idx}"]`);
+    if (row) row.remove();
+    updateTypeDatalist();
+}
+
+function updateTypeDatalist() {
+    const datalist = document.getElementById('availableTypes');
+    datalist.innerHTML = '';
+    document.querySelectorAll('#typesContainer .type-row').forEach(row => {
+        const nameInput = row.querySelector('input[name^="type_name_"]');
+        if (nameInput && nameInput.value.trim()) {
+            const opt = document.createElement('option');
+            opt.value = nameInput.value.trim();
+            datalist.appendChild(opt);
+        }
+    });
+}
+
+// Update datalist on type name changes
+document.getElementById('typesContainer').addEventListener('input', function (e) {
+    if (e.target.name && e.target.name.startsWith('type_name_')) {
+        updateTypeDatalist();
+    }
+});
+
+/* --- Schedule management --- */
+function addScheduleRow() {
+    const tbody = document.getElementById('scheduleBody');
+    const idx = scheduleCounter++;
+    const tr = document.createElement('tr');
+    tr.setAttribute('data-index', idx);
+    tr.innerHTML = `
+        <td><input type="date" name="datum_${idx}" required></td>
+        <td><input type="time" name="zacatek_${idx}" required></td>
+        <td><input type="time" name="konec_${idx}" required></td>
+        <td><input type="text" name="program_${idx}" required placeholder="Název bloku"></td>
+        <td><input type="text" name="typ_${idx}" list="availableTypes" required placeholder="Typ"></td>
+        <td><input type="text" name="garant_${idx}" placeholder="Garant"></td>
+        <td><input type="text" name="poznamka_${idx}" placeholder="Poznámka"></td>
+        <td><button type="button" class="btn btn-danger btn-sm" onclick="removeScheduleRow(${idx})">X</button></td>
+    `;
+    tbody.appendChild(tr);
+}
+
+function removeScheduleRow(idx) {
+    const row = document.querySelector(`#scheduleBody tr[data-index="${idx}"]`);
+    if (row) row.remove();
+}
+
+/* --- Build ScenarioDocument from builder form --- */
+function buildDocumentFromForm() {
+    const title = document.getElementById('builderTitle').value.trim();
+    const detail = document.getElementById('builderDetail').value.trim();
+
+    if (!title || !detail) {
+        throw new Error('Název akce a detail jsou povinné');
+    }
+
+    // Collect types
+    const programTypes = [];
+    document.querySelectorAll('#typesContainer .type-row').forEach(row => {
+        const code = row.querySelector('input[name^="type_name_"]').value.trim();
+        const desc = row.querySelector('input[name^="type_desc_"]').value.trim();
+        const color = row.querySelector('input[name^="type_color_"]').value;
+        if (code) {
+            programTypes.push({ code, description: desc, color });
+        }
+    });
+
+    // Collect blocks
+    const blocks = [];
+    document.querySelectorAll('#scheduleBody tr').forEach(tr => {
+        const inputs = tr.querySelectorAll('input');
+        const datum = inputs[0].value;
+        const zacatek = inputs[1].value;
+        const konec = inputs[2].value;
+        const program = inputs[3].value.trim();
+        const typ = inputs[4].value.trim();
+        const garant = inputs[5].value.trim() || null;
+        const poznamka = inputs[6].value.trim() || null;
+
+        if (datum && zacatek && konec && program && typ) {
+            blocks.push({ datum, zacatek, konec, program, typ, garant, poznamka });
+        }
+    });
+
+    if (blocks.length === 0) {
+        throw new Error('Přidejte alespoň jeden blok');
+    }
+
+    return {
+        version: "1.0",
+        event: { title, detail },
+        program_types: programTypes,
+        blocks
+    };
+}
+
+/* --- Handle builder form submit (Excel) --- */
+async function handleBuild(event) {
+    event.preventDefault();
+    try {
+        const doc = buildDocumentFromForm();
+        const blob = await API.postBlob('/api/generate-excel', doc);
+        API.downloadBlob(blob, 'scenar_timetable.xlsx');
+        showStatus('Excel vygenerován', 'success');
+    } catch (err) {
+        showStatus('Chyba: ' + err.message, 'error');
+    }
+    return false;
+}
+
+/* --- Handle builder PDF --- */
+async function handleBuildPdf() {
+    try {
+        const doc = buildDocumentFromForm();
+        const blob = await API.postBlob('/api/generate-pdf', doc);
+        API.downloadBlob(blob, 'scenar_timetable.pdf');
+        showStatus('PDF vygenerován', 'success');
+    } catch (err) {
+        showStatus('Chyba: ' + err.message, 'error');
+    }
+}
+
+/* --- Handle Excel import --- */
+async function handleImport(event) {
+    event.preventDefault();
+    const form = document.getElementById('importForm');
+    const formData = new FormData(form);
+
+    try {
+        const result = await API.postFormData('/api/import-excel', formData);
+        if (result.success && result.document) {
+            window.currentDocument = result.document;
+            showImportedDocument(result.document);
+            if (result.warnings && result.warnings.length > 0) {
+                showStatus('Import OK, warnings: ' + result.warnings.join('; '), 'success');
+            } else {
+                showStatus('Excel importován', 'success');
+            }
+        } else {
+            showStatus('Import failed: ' + (result.errors || []).join('; '), 'error');
+        }
+    } catch (err) {
+        showStatus('Chyba importu: ' + err.message, 'error');
+    }
+    return false;
+}
+
+/* --- Show imported document in editor --- */
+function showImportedDocument(doc) {
+    const area = document.getElementById('editorArea');
+    area.style.display = 'block';
+
+    // Info
+    document.getElementById('importedInfo').innerHTML =
+        `<strong>${doc.event.title}</strong> — ${doc.event.detail}`;
+
+    // Types
+    const typesHtml = doc.program_types.map((pt, i) => `
+        <div class="imported-type-row">
+            <input type="text" value="${pt.code}" data-field="code" data-idx="${i}">
+            <input type="text" value="${pt.description}" data-field="description" data-idx="${i}">
+            <input type="color" value="${pt.color}" data-field="color" data-idx="${i}">
+        </div>
+    `).join('');
+    document.getElementById('importedTypesContainer').innerHTML = typesHtml;
+
+    // Blocks
+    const blocksHtml = doc.blocks.map(b =>
+        `<div class="block-item">${b.datum} ${b.zacatek}–${b.konec} | <strong>${b.program}</strong> [${b.typ}] ${b.garant || ''}</div>`
+    ).join('');
+    document.getElementById('importedBlocksContainer').innerHTML = blocksHtml;
+}
+
+/* --- Get current document (with any edits from import editor) --- */
+function getCurrentDocument() {
+    if (!window.currentDocument) {
+        throw new Error('No document loaded');
+    }
+    // Update types from editor
+    const typeRows = document.querySelectorAll('#importedTypesContainer .imported-type-row');
+    if (typeRows.length > 0) {
+        window.currentDocument.program_types = Array.from(typeRows).map(row => ({
+            code: row.querySelector('[data-field="code"]').value.trim(),
+            description: row.querySelector('[data-field="description"]').value.trim(),
+            color: row.querySelector('[data-field="color"]').value,
+        }));
+    }
+    return window.currentDocument;
+}
+
+/* --- Generate Excel from imported data --- */
+async function generateExcelFromImport() {
+    try {
+        const doc = getCurrentDocument();
+        const blob = await API.postBlob('/api/generate-excel', doc);
+        API.downloadBlob(blob, 'scenar_timetable.xlsx');
+        showStatus('Excel vygenerován', 'success');
+    } catch (err) {
+        showStatus('Chyba: ' + err.message, 'error');
+    }
+}
+
+/* --- Generate PDF from imported data --- */
+async function generatePdfFromImport() {
+    try {
+        const doc = getCurrentDocument();
+        const blob = await API.postBlob('/api/generate-pdf', doc);
+        API.downloadBlob(blob, 'scenar_timetable.pdf');
+        showStatus('PDF vygenerován', 'success');
+    } catch (err) {
+        showStatus('Chyba: ' + err.message, 'error');
+    }
+}

app/static/js/export.js

@@ -0,0 +1,34 @@
+/**
+ * JSON import/export for Scenar Creator.
+ */
+
+function exportJson() {
+    if (!window.currentDocument) {
+        showStatus('No document to export', 'error');
+        return;
+    }
+    const json = JSON.stringify(window.currentDocument, null, 2);
+    const blob = new Blob([json], { type: 'application/json' });
+    API.downloadBlob(blob, 'scenar_export.json');
+}
+
+function handleJsonImport(event) {
+    const file = event.target.files[0];
+    if (!file) return;
+
+    const reader = new FileReader();
+    reader.onload = function (e) {
+        try {
+            const doc = JSON.parse(e.target.result);
+            if (!doc.event || !doc.blocks || !doc.program_types) {
+                throw new Error('Invalid ScenarioDocument format');
+            }
+            window.currentDocument = doc;
+            showImportedDocument(doc);
+            showStatus('JSON imported successfully', 'success');
+        } catch (err) {
+            showStatus('JSON import error: ' + err.message, 'error');
+        }
+    };
+    reader.readAsText(file);
+}