python/generators/sql_processing/docs_parse.py - third_party/perfetto - Git at Google

 #!/usr/bin/env python3
 # Copyright (C) 2022 The Android Open Source Project
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
 #
 #      http://www.apache.org/licenses/LICENSE-2.0
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.

 from abc import ABC
 from dataclasses import dataclass
 import re
 import sys
 from typing import Any, Dict, List, Optional, Set, Tuple, NamedTuple

 from python.generators.sql_processing.docs_extractor import DocsExtractor
 from python.generators.sql_processing.utils import ANY_PATTERN, ARG_DEFINITION_PATTERN, ObjKind
 from python.generators.sql_processing.utils import ARG_ANNOTATION_PATTERN
 from python.generators.sql_processing.utils import NAME_AND_TYPE_PATTERN
 from python.generators.sql_processing.utils import FUNCTION_RETURN_PATTERN
 from python.generators.sql_processing.utils import COLUMN_ANNOTATION_PATTERN


 def is_internal(name: str) -> bool:
   return re.match(r'^internal_.*', name, re.IGNORECASE) is not None


 def is_snake_case(s: str) -> bool:
   """Returns true if the string is snake_case."""
   return re.fullmatch(r'^[a-z_0-9]*$', s) is not None


 # Parse a SQL comment (i.e. -- Foo\n -- bar.) into a string (i.e. "Foo bar.").
 def parse_comment(comment: str) -> str:
   return ' '.join(line.strip().lstrip('--').lstrip()
                   for line in comment.strip().split('\n'))


 class Arg(NamedTuple):
   # TODO(b/307926059): the type is missing on old-style documentation for
   # tables. Make it "str" after stdlib is migrated.
   type: Optional[str]
   description: str


 class AbstractDocParser(ABC):

   @dataclass
   class Column:
     pass

   def __init__(self, path: str, module: str):
     self.path = path
     self.module = module
     self.name = None
     self.errors = []

   def _parse_name(self, upper: bool = False):
     assert self.name
     assert isinstance(self.name, str)
     module_pattern = f"^{self.module}_.*"
     if upper:
       module_pattern = module_pattern.upper()
     starts_with_module_name = re.match(module_pattern, self.name, re.IGNORECASE)
     if self.module == "common" or self.module == "prelude":
       if starts_with_module_name:
         self._error(
             'Names of tables/views/functions in the "{self.module}" module '
             f'should not start with {module_pattern}')
       return self.name
     if not starts_with_module_name:
       self._error('Names of tables/views/functions should be prefixed with the '
                   f'module name (i.e. should start with {module_pattern})')
     return self.name.strip()

   def _parse_desc_not_empty(self, desc: str):
     if not desc:
       self._error('Description of the table/view/function is missing')
     return desc.strip()

   def _validate_only_contains_annotations(self,
                                           ans: List[DocsExtractor.Annotation],
                                           ans_types: Set[str]):
     used_ans_types = set(a.key for a in ans)
     for type in used_ans_types.difference(ans_types):
       self._error(f'Unknown documentation annotation {type}')

   def _parse_columns(self, ans: List[DocsExtractor.Annotation],
                      schema: Optional[str]) -> Dict[str, Arg]:
     column_annotations = {}
     for t in ans:
       if t.key != '@column':
         continue
       m = re.match(COLUMN_ANNOTATION_PATTERN, t.value)
       if not m:
         self._error(f'@column annotation value {t.value} does not match '
                     f'pattern {COLUMN_ANNOTATION_PATTERN}')
         continue
       column_annotations[m.group(1)] = Arg(None, m.group(2).strip())

     if not schema:
       # If we don't have schema, we have to accept annotations as the source of
       # truth.
       return column_annotations

     columns = self._parse_args_definition(schema)

     for column in columns:
       inline_comment = columns[column].description
       if not inline_comment and column not in column_annotations:
         self._error(f'Column "{column}" is missing a description. Please add a '
                     'comment in front of the column definition')
         continue

       if column not in column_annotations:
         continue
       annotation = column_annotations[column].description
       if inline_comment and annotation:
         self._error(f'Column "{column}" is documented twice. Please remove the '
                     '@column annotation')
       if not inline_comment and annotation:
         # Absorb old-style annotations.
         columns[column] = Arg(columns[column].type, annotation)

     # Check that the annotations match existing columns.
     for annotation in column_annotations:
       if annotation not in columns:
         self._error(f'Column "{annotation}" is documented but does not exist '
                     'in table definition')
     return columns

   def _parse_args(self, ans: List[DocsExtractor.Annotation],
                   sql_args_str: str) -> Dict[str, Arg]:
     args = self._parse_args_definition(sql_args_str)

     arg_annotations = {}
     for an in ans:
       if an.key != '@arg':
         continue
       m = re.match(ARG_ANNOTATION_PATTERN, an.value)
       if m is None:
         self._error(f'Expected arg documentation "{an.value}" to match pattern '
                     f'{ARG_ANNOTATION_PATTERN}')
         continue
       arg_annotations[m.group(1)] = Arg(m.group(2), m.group(3).strip())

     for arg in args:
       if not args[arg].description and arg not in arg_annotations:
         self._error(f'Arg "{arg}" is missing a description. '
                     'Please add a comment in front of the arg definition.')
       if args[arg].description and arg in arg_annotations:
         self._error(f'Arg "{arg}" is documented twice. '
                     'Please remove the @arg annotation')
       if not args[arg].description and arg in arg_annotations:
         # Absorb old-style annotations.
         # TODO(b/307926059): Remove it once stdlib is migrated.
         args[arg] = Arg(args[arg].type, arg_annotations[arg].description)

     for arg in arg_annotations:
       if arg not in args:
         self._error(
             f'Arg "{arg}" is documented but not found in function definition.')
     return args

   # Parse function argument definition list or a table schema, e.g.
   # arg1 INT, arg2 STRING, including their comments.
   def _parse_args_definition(self, args_str: str) -> Dict[str, Arg]:
     result = {}
     remaining_args = args_str.strip()
     while remaining_args:
       m = re.match(fr'^{ARG_DEFINITION_PATTERN}({ANY_PATTERN})', remaining_args)
       if not m:
         self._error(f'Expected "{args_str}" to correspond to '
                     '"-- Comment\n arg_name TYPE" format '
                     '({ARG_DEFINITION_PATTERN})')
         return result
       groups = m.groups()
       comment = None if groups[0] is None else parse_comment(groups[0])
       name = groups[-3]
       type = groups[-2]
       result[name] = Arg(type, comment)
       # Strip whitespace and comma and parse the next arg.
       remaining_args = groups[-1].lstrip().lstrip(',').lstrip()

     return result

   def _error(self, error: str):
     self.errors.append(
         f'Error while parsing documentation for "{self.name}" in {self.path}: '
         f'{error}')


 class TableOrView:
   name: str
   type: str
   desc: str
   cols: Dict[str, Arg]

   def __init__(self, name, type, desc, cols):
     self.name = name
     self.type = type
     self.desc = desc
     self.cols = cols


 class TableViewDocParser(AbstractDocParser):
   """Parses documentation for CREATE TABLE and CREATE VIEW statements."""

   def __init__(self, path: str, module: str):
     super().__init__(path, module)

   def parse(self, doc: DocsExtractor.Extract) -> Optional[TableOrView]:
     assert doc.obj_kind == ObjKind.table_view

     or_replace, perfetto_or_virtual, type, self.name, schema = doc.obj_match

     if or_replace is not None:
       self._error(
           f'{type} "{self.name}": CREATE OR REPLACE is not allowed in stdlib')
     if is_internal(self.name):
       return None

     is_perfetto_table_or_view = (
         perfetto_or_virtual and perfetto_or_virtual.lower() == 'perfetto')
     if not schema and is_perfetto_table_or_view:
       self._error(
           f'{type} "{self.name}": schema is missing for a non-internal stdlib'
           f' perfetto table or view')

     self._validate_only_contains_annotations(doc.annotations, {'@column'})
     return TableOrView(
         name=self._parse_name(),
         type=type,
         desc=self._parse_desc_not_empty(doc.description),
         cols=self._parse_columns(doc.annotations, schema),
     )


 class Function:
   name: str
   desc: str
   args: Dict[str, Arg]
   return_type: str
   return_desc: str

   def __init__(self, name, desc, args, return_type, return_desc):
     self.name = name
     self.desc = desc
     self.args = args
     self.return_type = return_type
     self.return_desc = return_desc


 class FunctionDocParser(AbstractDocParser):
   """Parses documentation for CREATE_FUNCTION statements."""

   def __init__(self, path: str, module: str):
     super().__init__(path, module)

   def parse(self, doc: DocsExtractor.Extract) -> Optional[Function]:
     or_replace, self.name, args, ret_comment, ret_type = doc.obj_match

     if or_replace is not None:
       self._error(
           f'Function "{self.name}": CREATE OR REPLACE is not allowed in stdlib')

     # Ignore internal functions.
     if is_internal(self.name):
       return None

     name = self._parse_name()

     if not is_snake_case(name):
       self._error(f'Function name "{name}" is not snake_case'
                   f' (should be {name.casefold()})')

     ret_desc = None if ret_comment is None else parse_comment(ret_comment)
     if not ret_desc:
       self._error(f'Function "{name}": return description is missing')

     return Function(
         name=name,
         desc=self._parse_desc_not_empty(doc.description),
         args=self._parse_args(doc.annotations, args),
         return_type=ret_type,
         return_desc=ret_desc,
     )


 class TableFunction:
   name: str
   desc: str
   cols: Dict[str, Arg]
   args: Dict[str, Arg]

   def __init__(self, name, desc, cols, args):
     self.name = name
     self.desc = desc
     self.cols = cols
     self.args = args


 class TableFunctionDocParser(AbstractDocParser):
   """Parses documentation for table function statements."""

   def __init__(self, path: str, module: str):
     super().__init__(path, module)

   def parse(self, doc: DocsExtractor.Extract) -> Optional[TableFunction]:
     or_replace, self.name, args, ret_comment, columns = doc.obj_match

     if or_replace is not None:
       self._error(
           f'Function "{self.name}": CREATE OR REPLACE is not allowed in stdlib')

     # Ignore internal functions.
     if is_internal(self.name):
       return None

     self._validate_only_contains_annotations(doc.annotations,
                                              {'@arg', '@column'})
     name = self._parse_name()

     if not is_snake_case(name):
       self._error(f'Function name "{name}" is not snake_case'
                   f' (should be "{name.casefold()}")')

     return TableFunction(
         name=name,
         desc=self._parse_desc_not_empty(doc.description),
         cols=self._parse_columns(doc.annotations, columns),
         args=self._parse_args(doc.annotations, args),
     )


 class ParsedFile:
   errors: List[str] = []
   table_views: List[TableOrView] = []
   functions: List[Function] = []
   table_functions: List[TableFunction] = []

   def __init__(self, errors, table_views, functions, table_functions):
     self.errors = errors
     self.table_views = table_views
     self.functions = functions
     self.table_functions = table_functions


 # Reads the provided SQL and, if possible, generates a dictionary with data
 # from documentation together with errors from validation of the schema.
 def parse_file(path: str, sql: str) -> ParsedFile:
   if sys.platform.startswith('win'):
     path = path.replace('\\', '/')

   # Get module name
   module_name = path.split('/stdlib/')[-1].split('/')[0]

   # Extract all the docs from the SQL.
   extractor = DocsExtractor(path, module_name, sql)
   docs = extractor.extract()
   if extractor.errors:
     return ParsedFile(extractor.errors, [], [], [])

   # Parse the extracted docs.
   errors = []
   table_views = []
   functions = []
   table_functions = []
   for doc in docs:
     if doc.obj_kind == ObjKind.table_view:
       parser = TableViewDocParser(path, module_name)
       res = parser.parse(doc)
       if res:
         table_views.append(res)
       errors += parser.errors
     if doc.obj_kind == ObjKind.function:
       parser = FunctionDocParser(path, module_name)
       res = parser.parse(doc)
       if res:
         functions.append(res)
       errors += parser.errors
     if doc.obj_kind == ObjKind.table_function:
       parser = TableFunctionDocParser(path, module_name)
       res = parser.parse(doc)
       if res:
         table_functions.append(res)
       errors += parser.errors

   return ParsedFile(errors, table_views, functions, table_functions)
	#!/usr/bin/env python3
	# Copyright (C) 2022 The Android Open Source Project
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,
	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
	# See the License for the specific language governing permissions and
	# limitations under the License.

	from abc import ABC
	from dataclasses import dataclass
	import re
	import sys
	from typing import Any, Dict, List, Optional, Set, Tuple, NamedTuple

	from python.generators.sql_processing.docs_extractor import DocsExtractor
	from python.generators.sql_processing.utils import ANY_PATTERN, ARG_DEFINITION_PATTERN, ObjKind
	from python.generators.sql_processing.utils import ARG_ANNOTATION_PATTERN
	from python.generators.sql_processing.utils import NAME_AND_TYPE_PATTERN
	from python.generators.sql_processing.utils import FUNCTION_RETURN_PATTERN
	from python.generators.sql_processing.utils import COLUMN_ANNOTATION_PATTERN


	def is_internal(name: str) -> bool:
	return re.match(r'^internal_.*', name, re.IGNORECASE) is not None


	def is_snake_case(s: str) -> bool:
	"""Returns true if the string is snake_case."""
	return re.fullmatch(r'^[a-z_0-9]*$', s) is not None


	# Parse a SQL comment (i.e. -- Foo\n -- bar.) into a string (i.e. "Foo bar.").
	def parse_comment(comment: str) -> str:
	return ' '.join(line.strip().lstrip('--').lstrip()
	for line in comment.strip().split('\n'))


	class Arg(NamedTuple):
	# TODO(b/307926059): the type is missing on old-style documentation for
	# tables. Make it "str" after stdlib is migrated.
	type: Optional[str]
	description: str


	class AbstractDocParser(ABC):

	@dataclass
	class Column:
	pass

	def __init__(self, path: str, module: str):
	self.path = path
	self.module = module
	self.name = None
	self.errors = []

	def _parse_name(self, upper: bool = False):
	assert self.name
	assert isinstance(self.name, str)
	module_pattern = f"^{self.module}_.*"
	if upper:
	module_pattern = module_pattern.upper()
	starts_with_module_name = re.match(module_pattern, self.name, re.IGNORECASE)
	if self.module == "common" or self.module == "prelude":
	if starts_with_module_name:
	self._error(
	'Names of tables/views/functions in the "{self.module}" module '
	f'should not start with {module_pattern}')
	return self.name
	if not starts_with_module_name:
	self._error('Names of tables/views/functions should be prefixed with the '
	f'module name (i.e. should start with {module_pattern})')
	return self.name.strip()

	def _parse_desc_not_empty(self, desc: str):
	if not desc:
	self._error('Description of the table/view/function is missing')
	return desc.strip()

	def _validate_only_contains_annotations(self,
	ans: List[DocsExtractor.Annotation],
	ans_types: Set[str]):
	used_ans_types = set(a.key for a in ans)
	for type in used_ans_types.difference(ans_types):
	self._error(f'Unknown documentation annotation {type}')

	def _parse_columns(self, ans: List[DocsExtractor.Annotation],
	schema: Optional[str]) -> Dict[str, Arg]:
	column_annotations = {}
	for t in ans:
	if t.key != '@column':
	continue
	m = re.match(COLUMN_ANNOTATION_PATTERN, t.value)
	if not m:
	self._error(f'@column annotation value {t.value} does not match '
	f'pattern {COLUMN_ANNOTATION_PATTERN}')
	continue
	column_annotations[m.group(1)] = Arg(None, m.group(2).strip())

	if not schema:
	# If we don't have schema, we have to accept annotations as the source of
	# truth.
	return column_annotations

	columns = self._parse_args_definition(schema)

	for column in columns:
	inline_comment = columns[column].description
	if not inline_comment and column not in column_annotations:
	self._error(f'Column "{column}" is missing a description. Please add a '
	'comment in front of the column definition')
	continue

	if column not in column_annotations:
	continue
	annotation = column_annotations[column].description
	if inline_comment and annotation:
	self._error(f'Column "{column}" is documented twice. Please remove the '
	'@column annotation')
	if not inline_comment and annotation:
	# Absorb old-style annotations.
	columns[column] = Arg(columns[column].type, annotation)

	# Check that the annotations match existing columns.
	for annotation in column_annotations:
	if annotation not in columns:
	self._error(f'Column "{annotation}" is documented but does not exist '
	'in table definition')
	return columns

	def _parse_args(self, ans: List[DocsExtractor.Annotation],
	sql_args_str: str) -> Dict[str, Arg]:
	args = self._parse_args_definition(sql_args_str)

	arg_annotations = {}
	for an in ans:
	if an.key != '@arg':
	continue
	m = re.match(ARG_ANNOTATION_PATTERN, an.value)
	if m is None:
	self._error(f'Expected arg documentation "{an.value}" to match pattern '
	f'{ARG_ANNOTATION_PATTERN}')
	continue
	arg_annotations[m.group(1)] = Arg(m.group(2), m.group(3).strip())

	for arg in args:
	if not args[arg].description and arg not in arg_annotations:
	self._error(f'Arg "{arg}" is missing a description. '
	'Please add a comment in front of the arg definition.')
	if args[arg].description and arg in arg_annotations:
	self._error(f'Arg "{arg}" is documented twice. '
	'Please remove the @arg annotation')
	if not args[arg].description and arg in arg_annotations:
	# Absorb old-style annotations.
	# TODO(b/307926059): Remove it once stdlib is migrated.
	args[arg] = Arg(args[arg].type, arg_annotations[arg].description)

	for arg in arg_annotations:
	if arg not in args:
	self._error(
	f'Arg "{arg}" is documented but not found in function definition.')
	return args

	# Parse function argument definition list or a table schema, e.g.
	# arg1 INT, arg2 STRING, including their comments.
	def _parse_args_definition(self, args_str: str) -> Dict[str, Arg]:
	result = {}
	remaining_args = args_str.strip()
	while remaining_args:
	m = re.match(fr'^{ARG_DEFINITION_PATTERN}({ANY_PATTERN})', remaining_args)
	if not m:
	self._error(f'Expected "{args_str}" to correspond to '
	'"-- Comment\n arg_name TYPE" format '
	'({ARG_DEFINITION_PATTERN})')
	return result
	groups = m.groups()
	comment = None if groups[0] is None else parse_comment(groups[0])
	name = groups[-3]
	type = groups[-2]
	result[name] = Arg(type, comment)
	# Strip whitespace and comma and parse the next arg.
	remaining_args = groups[-1].lstrip().lstrip(',').lstrip()

	return result

	def _error(self, error: str):
	self.errors.append(
	f'Error while parsing documentation for "{self.name}" in {self.path}: '
	f'{error}')


	class TableOrView:
	name: str
	type: str
	desc: str
	cols: Dict[str, Arg]

	def __init__(self, name, type, desc, cols):
	self.name = name
	self.type = type
	self.desc = desc
	self.cols = cols


	class TableViewDocParser(AbstractDocParser):
	"""Parses documentation for CREATE TABLE and CREATE VIEW statements."""

	def __init__(self, path: str, module: str):
	super().__init__(path, module)

	def parse(self, doc: DocsExtractor.Extract) -> Optional[TableOrView]:
	assert doc.obj_kind == ObjKind.table_view

	or_replace, perfetto_or_virtual, type, self.name, schema = doc.obj_match

	if or_replace is not None:
	self._error(
	f'{type} "{self.name}": CREATE OR REPLACE is not allowed in stdlib')
	if is_internal(self.name):
	return None

	is_perfetto_table_or_view = (
	perfetto_or_virtual and perfetto_or_virtual.lower() == 'perfetto')
	if not schema and is_perfetto_table_or_view:
	self._error(
	f'{type} "{self.name}": schema is missing for a non-internal stdlib'
	f' perfetto table or view')

	self._validate_only_contains_annotations(doc.annotations, {'@column'})
	return TableOrView(
	name=self._parse_name(),
	type=type,
	desc=self._parse_desc_not_empty(doc.description),
	cols=self._parse_columns(doc.annotations, schema),
	)


	class Function:
	name: str
	desc: str
	args: Dict[str, Arg]
	return_type: str
	return_desc: str

	def __init__(self, name, desc, args, return_type, return_desc):
	self.name = name
	self.desc = desc
	self.args = args
	self.return_type = return_type
	self.return_desc = return_desc


	class FunctionDocParser(AbstractDocParser):
	"""Parses documentation for CREATE_FUNCTION statements."""

	def __init__(self, path: str, module: str):
	super().__init__(path, module)

	def parse(self, doc: DocsExtractor.Extract) -> Optional[Function]:
	or_replace, self.name, args, ret_comment, ret_type = doc.obj_match

	if or_replace is not None:
	self._error(
	f'Function "{self.name}": CREATE OR REPLACE is not allowed in stdlib')

	# Ignore internal functions.
	if is_internal(self.name):
	return None

	name = self._parse_name()

	if not is_snake_case(name):
	self._error(f'Function name "{name}" is not snake_case'
	f' (should be {name.casefold()})')

	ret_desc = None if ret_comment is None else parse_comment(ret_comment)
	if not ret_desc:
	self._error(f'Function "{name}": return description is missing')

	return Function(
	name=name,
	desc=self._parse_desc_not_empty(doc.description),
	args=self._parse_args(doc.annotations, args),
	return_type=ret_type,
	return_desc=ret_desc,
	)


	class TableFunction:
	name: str
	desc: str
	cols: Dict[str, Arg]
	args: Dict[str, Arg]

	def __init__(self, name, desc, cols, args):
	self.name = name
	self.desc = desc
	self.cols = cols
	self.args = args


	class TableFunctionDocParser(AbstractDocParser):
	"""Parses documentation for table function statements."""

	def __init__(self, path: str, module: str):
	super().__init__(path, module)

	def parse(self, doc: DocsExtractor.Extract) -> Optional[TableFunction]:
	or_replace, self.name, args, ret_comment, columns = doc.obj_match

	if or_replace is not None:
	self._error(
	f'Function "{self.name}": CREATE OR REPLACE is not allowed in stdlib')

	# Ignore internal functions.
	if is_internal(self.name):
	return None

	self._validate_only_contains_annotations(doc.annotations,
	{'@arg', '@column'})
	name = self._parse_name()

	if not is_snake_case(name):
	self._error(f'Function name "{name}" is not snake_case'
	f' (should be "{name.casefold()}")')

	return TableFunction(
	name=name,
	desc=self._parse_desc_not_empty(doc.description),
	cols=self._parse_columns(doc.annotations, columns),
	args=self._parse_args(doc.annotations, args),
	)


	class ParsedFile:
	errors: List[str] = []
	table_views: List[TableOrView] = []
	functions: List[Function] = []
	table_functions: List[TableFunction] = []

	def __init__(self, errors, table_views, functions, table_functions):
	self.errors = errors
	self.table_views = table_views
	self.functions = functions
	self.table_functions = table_functions


	# Reads the provided SQL and, if possible, generates a dictionary with data
	# from documentation together with errors from validation of the schema.
	def parse_file(path: str, sql: str) -> ParsedFile:
	if sys.platform.startswith('win'):
	path = path.replace('\\', '/')

	# Get module name
	module_name = path.split('/stdlib/')[-1].split('/')[0]

	# Extract all the docs from the SQL.
	extractor = DocsExtractor(path, module_name, sql)
	docs = extractor.extract()
	if extractor.errors:
	return ParsedFile(extractor.errors, [], [], [])

	# Parse the extracted docs.
	errors = []
	table_views = []
	functions = []
	table_functions = []
	for doc in docs:
	if doc.obj_kind == ObjKind.table_view:
	parser = TableViewDocParser(path, module_name)
	res = parser.parse(doc)
	if res:
	table_views.append(res)
	errors += parser.errors
	if doc.obj_kind == ObjKind.function:
	parser = FunctionDocParser(path, module_name)
	res = parser.parse(doc)
	if res:
	functions.append(res)
	errors += parser.errors
	if doc.obj_kind == ObjKind.table_function:
	parser = TableFunctionDocParser(path, module_name)
	res = parser.parse(doc)
	if res:
	table_functions.append(res)
	errors += parser.errors

	return ParsedFile(errors, table_views, functions, table_functions)