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generate_sql_function_docs.py
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executable file
·411 lines (374 loc) · 16.2 KB
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#!/usr/bin/env python3
from dataclasses import dataclass, field
import duckdb
import re
import operator
@dataclass(order=True)
class DocFunction:
name: str
parameters: list[str]
description: str
examples: list[str]
category: str
is_variadic: bool = False
aliases: list[str] = field(default_factory=list)
fixed_example_results: list[str] = field(default_factory=list)
nr_optional_arguments: int = 0
DOC_VERSION = 'preview'
DOC_FILES = [
f'docs/{DOC_VERSION}/sql/functions/blob.md',
f'docs/{DOC_VERSION}/sql/functions/text.md',
]
# 'functions' that are binary operators are listed between the arguments
BINARY_OPERATORS = ['||', '^@', 'LIKE', 'SIMILAR TO']
EXTRACT_OPERATOR = '[]'
# override/add to duckdb_functions() outputs:
# NOTE: duckdb_functions() only contains sufficient information for scalar and aggregate functions.
OVERRIDES: list[DocFunction] = [
# table functions
DocFunction(
category='blob',
name='read_blob',
parameters=['source'],
description="Returns the content from `source` (a filename, a list of filenames, or a glob pattern) as a `BLOB`. See the `read_blob` guide for more details.",
examples=["read_blob('hello.bin')"],
fixed_example_results=[r"hello\x0A"],
),
DocFunction(
category='string',
name='read_text',
parameters=['source'],
description="Returns the content from `source` (a filename, a list of filenames, or a glob pattern) as a `VARCHAR`. The file content is first validated to be valid UTF-8. If `read_text` attempts to read a file with invalid UTF-8 an error is thrown suggesting to use `read_blob` instead. See the `read_text` guide for more details.",
examples=["read_text('hello.txt')"],
fixed_example_results=["hello\\n"],
),
# macros
DocFunction(
category='string',
name='md5_number_lower',
parameters=['string'],
description="Returns the lower 64-bit segment of the MD5 hash of the `string` as a `UBIGINT`.",
examples=["md5_number_lower('abc')"],
),
DocFunction(
category='string',
name='md5_number_upper',
parameters=['string'],
description="Returns the upper 64-bit segment of the MD5 hash of the `string` as a `UBIGINT`.",
examples=["md5_number_upper('abc')"],
),
DocFunction(
category='regex',
name='regexp_split_to_table',
parameters=['string', 'regex'],
description="Splits the `string` along the `regex` and returns a row for each part.",
examples=["regexp_split_to_table('hello world; 42', ';? ')"],
),
DocFunction(
category='string',
name='split_part',
parameters=['string', 'separator', 'index'],
description="Splits the `string` along the `separator` and returns the data at the (1-based) `index` of the list. If the `index` is outside the bounds of the list, return an empty string (to match PostgreSQL's behavior).",
examples=["split_part('a;b;c', ';', 2)"],
),
# others
DocFunction(
category='string',
name='[]',
parameters=['string', 'index'],
description="Extracts a single character using a (1-based) index.",
examples=["'DuckDB'[4]"],
aliases=['array_extract'],
),
DocFunction(
category='string',
name='[]',
parameters=['string', 'begin', 'end'],
description='Extracts a string using slice conventions similar to Python. Missing `begin` or `end` arguments are interpreted as the beginning or end of the list respectively. Negative values are accepted.',
examples=["'DuckDB'[:4]"],
aliases=['array_slice'],
),
DocFunction(
category='string',
name='LIKE',
parameters=['string', 'target'],
description='Returns `true` if the `string` matches the like specifier (see Pattern Matching).',
examples=["'hello' LIKE '%lo'"],
),
DocFunction(
category='string',
name='SIMILAR TO',
parameters=['string', 'regex'],
description="Returns `true` if the `string` matches the `regex` (see Pattern Matching).",
examples=["'hello' SIMILAR TO 'l+'"],
aliases=['regexp_full_match'],
),
DocFunction(
category='string',
name='position', # non-standard parsing with 'IN' as pseudo argument
parameters=['search_string IN string'],
description="Return location of first occurrence of `search_string` in `string`, counting from 1. Returns 0 if no match found.",
examples=["position('b' IN 'abc')"],
aliases=['instr', 'strpos'],
),
DocFunction(
category='string',
name='^@', # edge case: alias between operator and regular function
parameters=['string', 'search_string'],
description="Returns `true` if `string` begins with `search_string`.",
examples=["'abc' ^@ 'a'"],
aliases=['starts_with'],
),
]
# NOTE: All function aliases are added, unless explicitly excluded. Format: (<category>, <function_name>)
EXCLUDES = [('string', 'list_slice')]
PAGE_LINKS = {
# intra-page links:
'`concat(arg1, arg2, ...)`': "#concatvalue-",
'operator `||`': "#arg1--arg2",
'fmt syntax': "#fmt-syntax",
'printf syntax': '#printf-syntax',
# links to other doc pages:
'`list_concat(list1, list2)`': f'docs/{DOC_VERSION}/sql/functions/list.md#list_concatlist1-list2',
'`read_blob` guide': f'docs/{DOC_VERSION}/guides/file_formats/read_file.md#read_blob',
'`read_text` guide': f'docs/{DOC_VERSION}/guides/file_formats/read_file.md#read_text',
'slicing': f'docs/{DOC_VERSION}/sql/functions/list.md#slicing',
'slice conventions': f'docs/{DOC_VERSION}/sql/functions/list.md#slicing',
'Pattern Matching': f'docs/{DOC_VERSION}/sql/functions/pattern_matching.md',
'collations': f'docs/{DOC_VERSION}/sql/expressions/collations.md',
'regex `options`': f'docs/{DOC_VERSION}/sql/functions/regular_expressions.md#options-for-regular-expression-functions',
# external page links:
'`os.path.dirname`': 'https://docs.python.org/3.7/library/os.path.html#os.path.dirname',
'`os.path.basename`': 'https://docs.python.org/3.7/library/os.path.html#os.path.basename',
'`pathlib.parts`': 'https://docs.python.org/3/library/pathlib.html#pathlib.PurePath.parts',
'`re.escape` function': 'https://docs.python.org/3/library/re.html#re.escape',
'Percent-Encoding': 'https://datatracker.ietf.org/doc/html/rfc3986#section-2.1',
}
def main():
for doc_file in DOC_FILES:
print(f"creating file {doc_file} ...")
with open(doc_file, "r") as f:
doc_text = f.read()
block_endline = "<!-- End of section generated by scripts/generate_sql_function_docs.py -->\n"
for current_block, startline, categories in get_function_blocks(
doc_text, block_endline
):
function_data = get_function_data(categories)
updated_block = (
startline
+ generate_docs_table(function_data)
+ generate_docs_records(function_data)
+ block_endline
)
doc_text = doc_text.replace(current_block, updated_block)
with open(doc_file, "w+") as f:
f.write(doc_text)
# returns (full_block_content, startline, categories) per function block in the file
def get_function_blocks(
doc_text: str, block_endline: str
) -> list[tuple[list[str], str, str]]:
startline_regex = r"(<!-- Start of section generated by scripts/generate_sql_function_docs.py; categories: \[)(.*?)(\] -->\n)"
block_regex = startline_regex + "(.*?)" + f"({block_endline})"
function_blocks: list[tuple[str, str, str, str, str]] = re.findall(
block_regex, doc_text, re.DOTALL
)
# regex groups: 0,1,2 = startline; group 3 = block content, group 4 = endline
if not function_blocks or any(
len(block_groups) != 5 for block_groups in function_blocks
):
print(f"ERROR: doc generation failed, start or end line missing in file")
exit(1)
function_blocks_info = []
for block_groups in function_blocks:
full_block_content = ''.join(block_groups)
startline = ''.join(block_groups[:3])
categories = [category.strip() for category in block_groups[1].split(',')]
function_blocks_info.append((full_block_content, startline, categories))
return function_blocks_info
def get_function_data(categories: list[str]) -> list[DocFunction]:
query = function_data_query(categories)
function_data: list[DocFunction] = [
DocFunction(*func) for func in duckdb.sql(query).fetchall()
]
function_data = apply_overrides(function_data, categories)
function_data = sort_function_data(function_data)
function_data = prune_duplicates(function_data)
function_data = [apply_url_conversions(function) for function in function_data]
return function_data
def function_data_query(categories: str) -> str:
return f"""
with categories as (select unnest({categories}) category)
select distinct
f1.function_name,
f1.parameters,
f1.description,
f1.examples,
categories.category,
f1.varargs='ANY' as is_variadic,
list_sort(list_distinct(list(f2.function_name))) as aliases,
list_value() fixed_example_results
from
categories
join duckdb_functions() f1 on list_contains(f1.categories, categories.category)
left join duckdb_functions() f2 on (
f1.alias_of = f2.function_name
or f1.function_name = f2.alias_of
or (f1.alias_of = f2.alias_of and f1.function_name != f2.function_name)
)
group by all
order by all
"""
def apply_overrides(function_data: list[DocFunction], categories: list[str]):
function_data = [
func
for func in function_data
if not any(
func.category == override.category and func.name == override.name
for override in OVERRIDES
)
and (func.category, func.name) not in EXCLUDES
]
function_data += [
override for override in OVERRIDES if override.category in categories
]
return function_data
def sort_function_data(function_data: list[DocFunction]):
function_data_1 = sorted(
[func for func in function_data if func.name == EXTRACT_OPERATOR],
key=operator.attrgetter("name", "description", "parameters"),
)
function_data_2 = sorted(
[func for func in function_data if func.name in BINARY_OPERATORS],
key=operator.attrgetter("name", "description", "parameters"),
)
function_data_3 = sorted(
[
func
for func in function_data
if (func.name not in BINARY_OPERATORS) and (func.name != EXTRACT_OPERATOR)
],
key=operator.attrgetter("name", "description", "parameters"),
)
return function_data_1 + function_data_2 + function_data_3
# remove duplicates with optional parameters
def prune_duplicates(function_data: list[DocFunction]):
for idx_func, func in enumerate(function_data):
if idx_func == 0:
continue
if (
func.name == function_data[idx_func - 1].name
and function_data[idx_func - 1].description == func.description
):
if function_data[idx_func - 1].parameters == func.parameters[:-1]:
func.nr_optional_arguments = (
function_data[idx_func - 1].nr_optional_arguments + 1
)
function_data[idx_func - 1].name = "DELETE_ME"
elif all(
param in function_data[idx_func - 1].parameters
for param in func.parameters
):
func.name = "DELETE_ME"
return [func for func in function_data if func.name != "DELETE_ME"]
def apply_url_conversions(function: DocFunction):
for link_text in PAGE_LINKS:
if link_text in function.description:
if PAGE_LINKS[link_text].startswith('http'):
# external link
url = f"{PAGE_LINKS[link_text]}"
else:
# internal link
page, _, section = PAGE_LINKS[link_text].partition('#')
url = ''
if page:
url = "{% " + f"link {page}" + " %}"
if section:
url += f"#{section}"
function.description = function.description.replace(
link_text, f"[{link_text}]({url})"
)
return function
def generate_docs_table(function_data: list[DocFunction]):
table_str = "<!-- markdownlint-disable MD056 -->\n\n"
table_str += "| Name | Description |\n|:--|:-------|\n"
for func in function_data:
if not func.examples:
print(f"WARNING (skipping): '{func.name}' - no example is available")
continue
func_title = get_function_title(func)
anchor = get_anchor_from_title(func_title)
table_str += f"| [`{func_title}`](#{anchor}) | {func.description} |\n"
table_str += "\n<!-- markdownlint-enable MD056 -->\n"
return table_str
def generate_docs_records(function_data: list[DocFunction]):
record_str = "\n"
for func in function_data:
if not func.examples:
print(f"skipping {func.name}")
continue
record_str += f"#### `{get_function_title(func)}`\n\n"
record_str += '<div class="nostroke_table"></div>\n\n'
record_str += f"| **Description** | {func.description} |\n"
record_str += generate_example_rows(func)
if func.aliases:
aliases = ', '.join(f"`{alias}`" for alias in func.aliases)
record_str += f"| **{'Alias' if len(func.aliases) == 1 else 'Aliases'}** | {aliases} |\n"
record_str += '\n'
return record_str
def get_function_title(func: DocFunction):
if func.name in BINARY_OPERATORS:
assert len(func.parameters) == 2
function_title = f"{func.parameters[0]} {func.name} {func.parameters[1]}"
elif func.name == EXTRACT_OPERATOR:
assert len(func.parameters) >= 2
parameter_str = ":".join(func.parameters[1:])
function_title = f"{func.parameters[0]}[{parameter_str}]"
else:
if func.nr_optional_arguments == 0:
parameter_str = (
f"{", ".join(func.parameters)}{', ...' if (func.is_variadic) else ''}"
)
else:
mandatory_args = func.parameters[: -1 * func.nr_optional_arguments]
optional_args = func.parameters[-1 * func.nr_optional_arguments :]
parameter_str = f"{", ".join(mandatory_args)}{"".join(f"[, {arg}]" for arg in optional_args)}"
function_title = f"{func.name}({parameter_str})"
return function_title
def get_anchor_from_title(title: str):
return re.sub(r'[\(\)\[\]\.,$@|:^]+', '', title.lower().replace(' ', '-'))
def generate_example_rows(func: DocFunction):
lines = ''
for idx, example in enumerate(func.examples):
example_result = (
func.fixed_example_results[idx] if func.fixed_example_results else ''
)
example_num = ' ' + str(idx + 1) if len(func.examples) > 1 else ''
lines += f"| **Example{example_num}** | `{example}` |\n"
if not example_result:
try:
if func.name in BINARY_OPERATORS:
example = f"({example})"
query_result = duckdb.sql(rf"select {example}::VARCHAR").fetchall()
if len(query_result) != 1:
example_result = 'Multiple rows: ' + ', '.join(
(
f"`'{query_result[idx_result][0]}'`"
if query_result[idx_result][0]
else "`NULL`"
)
for idx_result in range(len(query_result))
)
else:
example_result = (
f"{query_result[0][0]}" if query_result[0][0] else "NULL"
)
except duckdb.ParserException as e:
print(
f"Error for function '{func.name}', could not calculate example: '{example}'. Consider adding it via OVERRIDES'. {e}"
)
if '`' not in example_result:
example_result = f"`{example_result}`"
lines += f"| **Result** | {example_result} |\n"
return lines
if __name__ == "__main__":
main()