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A lightweight, injection-proof query language for multi-dialect SQL generation

Project description

FlyQL

A lightweight, injection-proof query language that parses human-readable filter expressions into a portable AST, transpiles to SQL across ClickHouse, PostgreSQL, and StarRocks, and evaluates in-memory.

Installation

pip install flyql

Requires Python 3.10+.

Quick Start

Parse a query

from flyql import parse

result = parse("status = 200 and active")
print(result.root)

Generate SQL

from flyql import parse
from flyql.generators.clickhouse.generator import to_sql_where
from flyql.generators.clickhouse.column import Column

result = parse("status >= 400 and host = prod*")

columns = {
    "status": Column("status", False, "UInt32"),
    "host": Column("host", False, "String"),
}

sql = to_sql_where(result.root, columns)
print(sql)

Generators are available for ClickHouse, PostgreSQL, and StarRocks:

from flyql.generators.clickhouse.generator import to_sql_where
from flyql.generators.postgresql.generator import to_sql_where
from flyql.generators.starrocks.generator import to_sql_where

Match in-memory data

from flyql import parse
from flyql.matcher import Evaluator, Record

result = parse("status = 200 and active")

data = {
    "status": 200,
    "active": True,
    "host": "prod-api-01",
}

evaluator = Evaluator()
matches = evaluator.evaluate(result.root, Record(data))
print(f"Matches: {matches}")  # True

Transformers

from flyql import parse
from flyql.generators.clickhouse.generator import to_sql_where
from flyql.generators.clickhouse.column import Column

result = parse("message|upper = 'ERROR'")

columns = {"message": Column("message", False, "String")}
sql = to_sql_where(result.root, columns)
print(sql)  # equals(upper(message), 'ERROR')

Column parsing

from flyql.columns import parse, parse_to_json

parsed = parse("message, status")
for col in parsed:
    print(f"{col.name} (display: {col.display_name!r}, segments: {col.segments})")

# Enable transformers
with_transforms = parse(
    "message|chars(25) as msg, status", capabilities={"transformers": True}
)

# Serialize to JSON
json_str = parse_to_json("message, status|upper", capabilities={"transformers": True})
print(json_str)

Query Syntax

Queries consist of conditions connected by boolean operators (and, or, not):

status=200 and active and not archived
service!=api or user="john doe"
message~"error.*" and not debug
(a=1 or b=2) and not (c=3 and d=4)
status in [200, 201] and method not in ['DELETE', 'PUT']

Operators

Operator Syntax
Equals =
Not equals !=
Regex match ~
Not regex match !~
Greater than >
Less than <
Greater or equals >=
Less or equals <=
In list in
Not in list not in
Like like
Not like not like
Case-insensitive like ilike
Case-insensitive not like not ilike

Documentation

Full documentation: docs.flyql.dev

License

MIT

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