Srsly
🦉 Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle)
Install / Use
/learn @explosion/SrslyREADME
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srsly: Modern high-performance serialization utilities for Python
This package bundles some of the best Python serialization libraries into one convenience package, with a high-level API that makes it easy to write code that's correct across platforms and Pythons. This allows us to provide all the serialization utilities we need in a single binary wheel. Currently supports JSON, JSONL, MessagePack, Pickle and YAML.
Motivation
Serialization is hard, especially across Python versions and multiple platforms.
After dealing with many subtle bugs over the years (encodings, locales, large
files) our libraries like spaCy and
Prodigy had steadily grown a number of utility functions to
wrap the multiple serialization formats we need to support (especially json,
msgpack and pickle). These wrapping functions ended up duplicated across our
codebases, so we wanted to put them in one place.
srsly currently includes wrappers around the following packages:
ujsonmsgpackcloudpickleruamel.yaml(without unsafe implementations!)
Additionally, it includes a heavily customized fork of
msgpack-numpy, with corrected
round-trip behaviour for np.float64 objects.
Installation
srsly can be installed from pip.
python -m pip install srsly
Or from conda via conda-forge:
conda install -c conda-forge srsly
This will automatically install/upgrade all dependencies.
numpy and cupy are optional dependencies for msgpack. If numpy is installed, numpy objects can be serialized. If cupy is installed, cupy objects will be automaticaly converted to numpy and then serialized.
Alternatively, you can also install the library from the repository:
# clone the repo
git clone https://github.com/explosion/srsly
cd srsly
# create a virtual environment
python -m venv .env
source .env/bin/activate
# install from source
python -m pip install .
For developers, install requirements separately and then install in editable mode without build isolation:
# install in editable mode
python -m pip install --no-build-isolation --editable .
# run test suite
python -m pytest --pyargs srsly
API
JSON
<kbd>function</kbd> srsly.json_dumps
Serialize an object to a JSON string. Falls back to json if sort_keys=True
is used (until it's fixed in ujson).
data = {"foo": "bar", "baz": 123}
json_string = srsly.json_dumps(data)
| Argument | Type | Description |
| ----------- | ---- | ------------------------------------------------------ |
| data | - | The JSON-serializable data to output. |
| indent | int | Number of spaces used to indent JSON. Defaults to 0. |
| sort_keys | bool | Sort dictionary keys. Defaults to False. |
| RETURNS | str | The serialized string. |
<kbd>function</kbd> srsly.json_loads
Deserialize unicode or bytes to a Python object.
data = '{"foo": "bar", "baz": 123}'
obj = srsly.json_loads(data)
| Argument | Type | Description |
| ----------- | ----------- | ------------------------------- |
| data | str / bytes | The data to deserialize. |
| RETURNS | - | The deserialized Python object. |
<kbd>function</kbd> srsly.write_json
Create a JSON file and dump contents or write to standard output.
data = {"foo": "bar", "baz": 123}
srsly.write_json("/path/to/file.json", data)
| Argument | Type | Description |
| -------- | ------------ | ------------------------------------------------------ |
| path | str / Path | The file path or "-" to write to stdout. |
| data | - | The JSON-serializable data to output. |
| indent | int | Number of spaces used to indent JSON. Defaults to 2. |
<kbd>function</kbd> srsly.read_json
Load JSON from a file or standard input.
data = srsly.read_json("/path/to/file.json")
| Argument | Type | Description |
| ----------- | ------------ | ------------------------------------------ |
| path | str / Path | The file path or "-" to read from stdin. |
| RETURNS | dict / list | The loaded JSON content. |
<kbd>function</kbd> srsly.write_gzip_json
Create a gzipped JSON file and dump contents.
data = {"foo": "bar", "baz": 123}
srsly.write_gzip_json("/path/to/file.json.gz", data)
| Argument | Type | Description |
| -------- | ------------ | ------------------------------------------------------ |
| path | str / Path | The file path. |
| data | - | The JSON-serializable data to output. |
| indent | int | Number of spaces used to indent JSON. Defaults to 2. |
<kbd>function</kbd> srsly.write_gzip_jsonl
Create a gzipped JSONL file and dump contents.
data = [{"foo": "bar"}, {"baz": 123}]
srsly.write_gzip_json("/path/to/file.jsonl.gz", data)
| Argument | Type | Description |
| ----------------- | ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| path | str / Path | The file path. |
| lines | - | The JSON-serializable contents of each line. |
| append | bool | Whether or not to append to the location. Appending to .gz files is generally not recommended, as it doesn't allow the algorithm to take advantage of all data when compressing - files may hence be poorly compressed. |
| append_new_line | bool | Whether or not to write a new line before appending to the file. |
<kbd>function</kbd> srsly.read_gzip_json
Load gzipped JSON from a file.
data = srsly.read_gzip_json("/path/to/file.json.gz")
| Argument | Type | Description |
| ----------- | ------------ | ------------------------ |
| path | str / Path | The file path. |
| RETURNS | dict / list | The loaded JSON content. |
<kbd>function</kbd> srsly.read_gzip_jsonl
Load gzipped JSONL from a file.
data = srsly.read_gzip_jsonl("/path/to/file.jsonl.gz")
| Argument | Type | Description |
| ----------- | ------------ | ------------------------- |
| path | str / Path | The file path. |
| RETURNS | dict / list | The loaded JSONL content. |
<kbd>function</kbd> srsly.write_jsonl
Create a JSONL file (newline-delimited JSON) and dump contents line by line, or write to standard output.
data = [{"foo": "bar"}, {"baz": 123}]
srsly.write_jsonl("/path/to/file.jsonl", data)
| Argument | Type | Description |
| ----------------- | ------------ | ---------------------------------------------------------------------------------------------------------------------- |
| path | str / Path | The file path or "-" to write to stdout. |
| lines | iterable | The JSON-serializable lines. |
| append | bool | Append to an existing file. Will open it in "a" mode and insert a newline before writing lines. Defaults to False. |
| append_new_line | bool | Defines whether a new line should first be written when appending to an existing file. Defaults to True. |
