Reading and Processing

def standard_nb_read(text: str) -> nbf.NotebookNode:
    """
    Read standard .ipynb notebook format.
    
    Parameters:
    - text: str - Raw notebook JSON content as string
    
    Returns:
    nbf.NotebookNode: Parsed notebook object
    
    Parses JSON notebook content and returns a structured
    NotebookNode object for further processing.
    """

def create_nb_reader(
    path: str,
    md_config: MdParserConfig,
    nb_config: NbParserConfig,
    content: None | str | Iterator[str]
) -> NbReader | None:
    """
    Create appropriate notebook reader based on format and configuration.
    
    Parameters:
    - path: str - Path to the input source being processed
    - md_config: MdParserConfig - Configuration for parsing Markdown
    - nb_config: NbParserConfig - Configuration for parsing Notebooks
    - content: None | str | Iterator[str] - Input string (optionally used to check for text-based notebooks)
    
    Returns:
    NbReader | None: Configured reader instance or None if format unsupported
    
    Analyzes file format and creates the appropriate reader for processing.
    """

def read_myst_markdown_notebook(...):
    """
    Read MyST markdown notebooks.
    
    Parameters:
    - content: str - MyST markdown content
    - path: str - File path for context
    - config: NbParserConfig - Reading configuration
    
    Returns:
    nbf.NotebookNode: Converted notebook object
    
    Parses MyST markdown format and converts to notebook structure
    with proper cell separation and metadata handling.
    """

class NbReader:
    """
    Notebook reader with format detection and processing capabilities.
    
    Handles various notebook formats and provides unified interface
    for reading and processing notebook content.
    """
    
    def __init__(self, path: str, config: NbParserConfig):
        """
        Initialize notebook reader.
        
        Parameters:
        - path: str - Path to notebook file
        - config: NbParserConfig - Reader configuration
        """
    
    def read(self) -> nbf.NotebookNode:
        """Read and parse the notebook."""
        pass
        
    def detect_format(self) -> str:
        """Detect notebook format from file content."""
        pass

def myst_nb_reader_plugin():
    """
    MyST-NB reader plugin for jupyter-cache integration.
    
    Returns:
    Callable: Reader function compatible with jupyter-cache
    
    Provides jupyter-cache integration for cached notebook reading
    and processing within the caching system.
    """

{
  "cells": [
    {
      "cell_type": "code",
      "source": ["print('Hello, World!')"],
      "metadata": {},
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 4
}

def is_myst_markdown_notebook(text: str | Iterator[str]) -> bool:
    """
    Check if the input is a MyST Markdown notebook.
    
    Parameters:
    - text: str | Iterator[str] - Input text to check
    
    Returns:
    bool: True if the input is a markdown notebook
    
    Identifies MyST markdown notebooks by checking for top-matter
    section containing either 'file_format: mystnb' or Jupytext
    format configuration.
    """

def myst_nb_reader_plugin(uri: str) -> nbf.NotebookNode:
    """
    Read a MyST notebook from a string.
    
    Parameters:
    - uri: str - URI/path to the notebook file
    
    Returns:
    nbf.NotebookNode: Parsed notebook object
    
    Used as plugin for jupyter-cache to read MyST notebooks
    from file URIs with source mapping enabled.
    """

class MystMetadataParsingError(Exception):
    """
    Error when parsing metadata from MyST formatted text.
    
    Raised when MyST markdown notebook metadata cannot be
    properly parsed or contains invalid structure.
    """

---
jupyter:
  kernelspec:
    name: python3
    display_name: Python 3
---

# My Notebook

This is a markdown cell.

```{code-cell} python
print("Hello, World!")

:tags: [hide-output]
import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [1, 4, 2])
plt.show()

### Custom Formats

Support for custom notebook formats through configuration:

```python
# In configuration
custom_formats = {
    ".Rmd": "Rmd",      # R Markdown
    ".qmd": "qmd",      # Quarto
    ".py": "py:percent" # Python with percent comments
}

from myst_nb.core.read import standard_nb_read
import nbformat as nbf

# Read standard notebook
with open("notebook.ipynb", "r") as f:
    content = f.read()

nb = standard_nb_read(content)
print(f"Notebook has {len(nb.cells)} cells")

from myst_nb.core.read import read_myst_markdown_notebook
from myst_nb.core.config import NbParserConfig

# Read MyST markdown notebook
with open("notebook.md", "r") as f:
    content = f.read()

config = NbParserConfig()
nb = read_myst_markdown_notebook(content, "notebook.md", config)

# Process cells
for i, cell in enumerate(nb.cells):
    print(f"Cell {i}: {cell.cell_type}")
    if cell.cell_type == "code":
        print(f"  Source: {cell.source[:50]}...")

from myst_nb.core.read import create_nb_reader
from myst_nb.core.config import NbParserConfig

config = NbParserConfig(
    execution_mode="auto",
    custom_formats={".Rmd": "Rmd"}
)

# Create reader for different formats
reader = create_nb_reader("notebook.ipynb", None, config)
if reader:
    nb = reader.read()
    print(f"Read notebook with {len(nb.cells)} cells")

# Handle MyST markdown
reader = create_nb_reader("notebook.md", "myst", config)
if reader:
    nb = reader.read()

import os
from myst_nb.core.read import NbReader

def process_notebook_file(filepath):
    """Process notebook file with automatic format detection."""
    reader = NbReader(filepath, config)
    
    # Detect format
    fmt = reader.detect_format()
    print(f"Detected format: {fmt}")
    
    # Read notebook
    nb = reader.read()
    
    # Process based on format
    if fmt == "ipynb":
        print("Processing standard Jupyter notebook")
    elif fmt == "myst":
        print("Processing MyST markdown notebook")
    elif fmt in config.custom_formats:
        print(f"Processing custom format: {fmt}")
    
    return nb

# Process various formats
notebooks = [
    "standard.ipynb",
    "myst_notebook.md", 
    "r_notebook.Rmd"
]

for nb_path in notebooks:
    if os.path.exists(nb_path):
        nb = process_notebook_file(nb_path)

import glob
from pathlib import Path
from myst_nb.core.read import create_nb_reader

def read_all_notebooks(directory, config):
    """Read all notebooks in a directory."""
    notebooks = []
    
    # Find all notebook files
    patterns = ["*.ipynb", "*.md", "*.Rmd"]
    for pattern in patterns:
        for filepath in Path(directory).glob(pattern):
            reader = create_nb_reader(str(filepath), None, config)
            if reader:
                try:
                    nb = reader.read()
                    notebooks.append((filepath, nb))
                    print(f"Read: {filepath}")
                except Exception as e:
                    print(f"Error reading {filepath}: {e}")
    
    return notebooks

# Usage
config = NbParserConfig()
notebooks = read_all_notebooks("notebooks/", config)
print(f"Read {len(notebooks)} notebooks")

from myst_nb.core.read import myst_nb_reader_plugin
from jupyter_cache import get_cache

# Setup cache with MyST-NB reader
cache = get_cache(".jupyter_cache")

# Register MyST-NB reader plugin
reader_plugin = myst_nb_reader_plugin()

# Use with cached execution
cached_nb = cache.cache_notebook_file("notebook.md", reader=reader_plugin)

from myst_nb.core.read import standard_nb_read, NbReader
import nbformat as nbf

def safe_notebook_read(filepath):
    """Safely read notebook with error handling."""
    try:
        reader = NbReader(filepath, config)
        nb = reader.read()
        
        # Validate notebook structure
        nbf.validate(nb)
        
        return nb
    except nbf.ValidationError as e:
        print(f"Invalid notebook format: {e}")
        return None
    except FileNotFoundError:
        print(f"File not found: {filepath}")
        return None
    except Exception as e:
        print(f"Error reading notebook: {e}")
        return None

# Usage with validation
nb = safe_notebook_read("notebook.ipynb")
if nb:
    print(f"Successfully read valid notebook with {len(nb.cells)} cells")