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A parser for Logical Query Protocol (LQP) S-expressions into Protobuf

Project description

python-tools

A command-line tool to parse Logical Query Protocol (LQP) S-expressions into Protobuf binary and JSON formats.

Usage

usage: lqp [-h] [--no-validation] [--bin] [--json] [--out] input

Parse LQP S-expression into Protobuf binary and JSON files.

positional arguments:
  input            directory holding .lqp files, or a single .lqp file

options:
  -h, --help       show this help message and exit
  --no-validation  don't validate parsed LQP
  --bin            encode emitted ProtoBuf into binary
  --json           encode emitted ProtoBuf into JSON
  --out            write emitted binary or JSON to stdout

Examples

lqp --no-validation --bin --json foo/bar.lqp

Will create two files in foo/ named bar.bin and bar.json containing the binary and JSON encodings of the parsed ProtoBuf. In this case, the parser will not go through the client-side validations we do to check for well-formed LQP.

lqp --bin --json foo

This will look for .lqp files both at the top-level and inside an lqp subdirectory. Then it will organize the generated binary and JSON into folders, as well as the original found files. So, for example, if foo has this structure:

foo/
| bar.lqp
| lqp/
| | baz.lqp

Then after executing the above command, it should have this structure:

foo/
| bin/
| | bar.bin
| | baz.bin
| json/
| | bar.json
| | baz.json
| lqp/
| | bar.lqp
| | baz.lqp
lqp --bin --out foo.lqp

Will write the ProtoBuf binary parsed from the foo.lqp to stdout. The result can be piped into the desired output file, e.g., lqp --bin --out foo.lqp > foo.bin.

Setup

It is recommended to use a Python virtualenv. Set one up in the python-tools directory by:

cd python-tools
python -m venv .venv

Then activate the virtual environment:

source .venv/bin/activate

Build

Install preprequisites:

pip install pip build setuptools wheel

Then build the module itself:

python -m build

Install locally:

pip install [--user] [--force-reinstall] dist/lqp-0.1.0-py3-none-any.whl

Running tests

Within python-tools,

Setup:

python -m pip install -e ".[test]"
python -m pip install pyrefly

Running tests:

python -m pytest

To add testcases, add a .lqp file to the tests/test_files/lqp_input subdirectory. New files get picked up automatically. To generate or update the corresponding output files (binary, debug mode, and pretty-printing snapshots), run pytest with the --snapshot-update flag.

Type checking:

pyrefly check

Formatting

The LQP S-expression syntax was chosen to align with that of the Clojure programming language, in order to leverage the existing tools in that ecosystem. LQP syntax should be formatted via cljfmt with the following configuration:

;; .cljfmt.edn
{:indents {#re ".*" [[:inner 0]]}
 :remove-surrounding-whitespace?  false
 :remove-trailing-whitespace?     false
 :remove-consecutive-blank-lines? false}

This configuration is explained here and simply works better for LQP, which does not have many of the Clojure keywords that are treated as special cases during formatting by default.

See the next section for an easy way to integrate cljfmt into your VSCode workflow.

VSCode

Editing nested S-expressions by hand can get a little tedious, which is why paredit is an established tool in the Clojure world. To integrate paredit and cljfmt into your VSCode workflow, just install the Calva extension and follow the configuration guide to use the cljfmt configuration pasted in the previous section.

Out-of-the-box, Calva also runs a Clojure linter, which of course does not know what to do with LQP, resulting in lots of squiggly lines. For that reason, it is also advisable to create the following config file at .lsp/config.edn from the project root:

;; .lsp/config.edn
{:linters {:clj-kondo {:level :off}}}

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