jload

jload

A simple utility to load and save lists of dictionaries from/to JSON and JSONL files, with automatic format detection.

Installation

pip install jload

Usage

from jload import jload, jsave

# File extension doesn't matter - format is auto-detected between json and jsonl
data = jload('path/to/any_file')

# List of dictionaries to save
data = [{'name': 'Alice', 'age': 30}, {'name': 'Bob', 'age': 25}]

# Save as JSONL
jsave(data, 'output.jsonl', format='jsonl')

# Auto-detect format based on file extension
jsave(data, 'output.jsonl')  # Will be saved as JSONL
jsave(data, 'output.json')   # Will be saved as JSON, with auto indent

# Append a single entry using the append parameter
entry = {'name': 'Charlie', 'age': 35}

# Append to a JSON file (will be added to the array)
jsave(entry, 'output.json', append=True)

# Append to a JSONL file (will add a new line)
jsave(entry, 'output.jsonl', append=True)

Features

• Format Auto-detection:
  • When loading: Automatically detects if a file contains JSON or JSONL (JSON Lines) format
  • When saving: Determines format based on file extension (.jsonl/.ndjson for JSONL, anything else for JSON)
• Flexible Parsing:
  • Handles JSON arrays of dictionaries
  • Handles single JSON objects (returns as a list with one dictionary)
  • Handles JSONL with one JSON object per line
• Error Handling: Provides meaningful error messages for invalid files or formats
• Lightweight: No dependencies beyond Python's standard library

Function Details

jload

def jload(file_path: str) -> list[dict]:
    """
    Loads a list of dictionaries from a file, attempting to auto-detect
    if it's a single JSON array/object or JSONL (JSON Lines).
    The function prioritizes content analysis over file extension.

    Args:
        file_path (str): The path to the data file.

    Returns:
        list[dict]: A list of dictionaries loaded from the file.
                    - If the file content is a JSON array of objects, it's returned as is.
                    - If the file content is a single JSON object, it's returned as a list
                      containing that single object.
                    - If the file content appears to be JSONL, each line that is a valid
                      JSON object is included in the returned list.
                    - Returns an empty list if the file is empty.

    Raises:
        FileNotFoundError: If the specified file_path does not exist.
        ValueError: If the file content cannot be interpreted as either
                    a JSON array/object or JSONL format.
    """

jsave

def jsave(data, file_path: str, format: str = 'auto', indent: int = 2, append: bool = False) -> None:
    """
    Saves data to a file in either JSON or JSONL format.

    Args:
        data: The data to save.
            - For 'json' format: Can be any JSON-serializable data (dict, list, str, int, etc.)
            - For 'jsonl' format: Must be a list of dictionaries if append=False
                                 Must be a dictionary if append=True
        file_path (str): The path where the file will be saved.
        format (str, optional): The format to save in. Options:
            - 'auto': Determine format based on file extension (.jsonl/.ndjson for JSONL, anything else for JSON)
            - 'json': Save as a JSON document
            - 'jsonl': Save as JSONL (one JSON object per line)
            Defaults to 'auto'.
        indent (int, optional): Number of spaces for indentation in JSON format.
            Only applies to 'json' format, ignored for 'jsonl'. Defaults to 2.
        append (bool, optional): If True, appends data to the existing file instead of overwriting.
            - For 'json' format: data must be a dictionary, which will be appended to the existing JSON array
            - For 'jsonl' format: data must be a dictionary, which will be appended as a new line
            Defaults to False.

    Raises:
        ValueError: If data is not in the correct format for the specified file format,
                    or if an invalid format is specified.
        TypeError: If data is not JSON-serializable.
        IOError: If there's an error writing to the file.
    """

Examples

Example 1: Loading a JSON array of objects

data.json:

[
  {"name": "Alice", "age": 30},
  {"name": "Bob", "age": 25}
]

Python code:

from jload import jload

data = jload('data.json')
print(data)
# Output: [{'name': 'Alice', 'age': 30}, {'name': 'Bob', 'age': 25}]

Example 2: Loading a single JSON object

data.json:

{"name": "Alice", "age": 30}

Python code:

from jload import jload

data = jload('data.json')
print(data)
# Output: [{'name': 'Alice', 'age': 30}]

Example 3: Loading a JSONL file

data.jsonl:

{"name": "Alice", "age": 30}
{"name": "Bob", "age": 25}

Python code:

from jload import jload

data = jload('data.jsonl')
print(data)
# Output: [{'name': 'Alice', 'age': 30}, {'name': 'Bob', 'age': 25}]

Example 4: Saving data as JSON

from jload import jsave

data = [{'name': 'Alice', 'age': 30}, {'name': 'Bob', 'age': 25}]
jsave(data, 'output.json')

output.json:

[
  {
    "name": "Alice",
    "age": 30
  },
  {
    "name": "Bob",
    "age": 25
  }
]

Example 5: Saving data as JSONL

from jload import jsave

data = [{'name': 'Alice', 'age': 30}, {'name': 'Bob', 'age': 25}]
jsave(data, 'output.jsonl')

output.jsonl:

{"name":"Alice","age":30}
{"name":"Bob","age":25}

Example 6: Appending data to existing files

from jload import jsave, jsave_append

# First, create the initial files
initial_data = [{'name': 'Alice', 'age': 30}]
jsave(initial_data, 'people.json')  # Creates a JSON array file
jsave(initial_data, 'people.jsonl')  # Creates a JSONL file

# Now append a new entry to both files
new_entry = {'name': 'Bob', 'age': 25}

# Method 1: Using jsave with append=True
jsave(new_entry, 'people.json', append=True)
jsave(new_entry, 'people.jsonl', append=True)

# Method 2: Using jsave_append directly
another_entry = {'name': 'Charlie', 'age': 35}
jsave_append(another_entry, 'people.json')
jsave_append(another_entry, 'people.jsonl')

# Result for people.json:
# [
#   {"name": "Alice", "age": 30},
#   {"name": "Bob", "age": 25},
#   {"name": "Charlie", "age": 35}
# ]

# Result for people.jsonl:
# {"name":"Alice","age":30}
# {"name":"Bob","age":25}
# {"name":"Charlie","age":35}

Requirements

• Python 3.7+

License

MIT License

Contributing

Issues and pull requests are welcome at https://github.com/Imbernoulli/jload/issues