dbt-selly/dbt-env/lib/python3.8/site-packages/dbt/clients/jinja.py

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2022-03-22 15:13:27 +00:00
import codecs
import linecache
import os
import re
import tempfile
import threading
from ast import literal_eval
from contextlib import contextmanager
from itertools import chain, islice
from typing import (
List, Union, Set, Optional, Dict, Any, Iterator, Type, NoReturn, Tuple,
Callable
)
import jinja2
import jinja2.ext
import jinja2.nativetypes # type: ignore
import jinja2.nodes
import jinja2.parser
import jinja2.sandbox
from dbt.utils import (
get_dbt_macro_name, get_docs_macro_name, get_materialization_macro_name,
get_test_macro_name, deep_map
)
from dbt.clients._jinja_blocks import BlockIterator, BlockData, BlockTag
from dbt.contracts.graph.compiled import CompiledSchemaTestNode
from dbt.contracts.graph.parsed import ParsedSchemaTestNode
from dbt.exceptions import (
InternalException, raise_compiler_error, CompilationException,
invalid_materialization_argument, MacroReturn, JinjaRenderingException,
UndefinedMacroException
)
from dbt import flags
from dbt.logger import GLOBAL_LOGGER as logger # noqa
def _linecache_inject(source, write):
if write:
# this is the only reliable way to accomplish this. Obviously, it's
# really darn noisy and will fill your temporary directory
tmp_file = tempfile.NamedTemporaryFile(
prefix='dbt-macro-compiled-',
suffix='.py',
delete=False,
mode='w+',
encoding='utf-8',
)
tmp_file.write(source)
filename = tmp_file.name
else:
# `codecs.encode` actually takes a `bytes` as the first argument if
# the second argument is 'hex' - mypy does not know this.
rnd = codecs.encode(os.urandom(12), 'hex') # type: ignore
filename = rnd.decode('ascii')
# put ourselves in the cache
cache_entry = (
len(source),
None,
[line + '\n' for line in source.splitlines()],
filename
)
# linecache does in fact have an attribute `cache`, thanks
linecache.cache[filename] = cache_entry # type: ignore
return filename
class MacroFuzzParser(jinja2.parser.Parser):
def parse_macro(self):
node = jinja2.nodes.Macro(lineno=next(self.stream).lineno)
# modified to fuzz macros defined in the same file. this way
# dbt can understand the stack of macros being called.
# - @cmcarthur
node.name = get_dbt_macro_name(
self.parse_assign_target(name_only=True).name)
self.parse_signature(node)
node.body = self.parse_statements(('name:endmacro',),
drop_needle=True)
return node
class MacroFuzzEnvironment(jinja2.sandbox.SandboxedEnvironment):
def _parse(self, source, name, filename):
return MacroFuzzParser(self, source, name, filename).parse()
def _compile(self, source, filename):
"""Override jinja's compilation to stash the rendered source inside
the python linecache for debugging when the appropriate environment
variable is set.
If the value is 'write', also write the files to disk.
WARNING: This can write a ton of data if you aren't careful.
"""
if filename == '<template>' and flags.MACRO_DEBUGGING:
write = flags.MACRO_DEBUGGING == 'write'
filename = _linecache_inject(source, write)
return super()._compile(source, filename) # type: ignore
class NativeSandboxEnvironment(MacroFuzzEnvironment):
code_generator_class = jinja2.nativetypes.NativeCodeGenerator
class TextMarker(str):
"""A special native-env marker that indicates that a value is text and is
not to be evaluated. Use this to prevent your numbery-strings from becoming
numbers!
"""
class NativeMarker(str):
"""A special native-env marker that indicates the field should be passed to
literal_eval.
"""
class BoolMarker(NativeMarker):
pass
class NumberMarker(NativeMarker):
pass
def _is_number(value) -> bool:
return isinstance(value, (int, float)) and not isinstance(value, bool)
def quoted_native_concat(nodes):
"""This is almost native_concat from the NativeTemplate, except in the
special case of a single argument that is a quoted string and returns a
string, the quotes are re-inserted.
"""
head = list(islice(nodes, 2))
if not head:
return ''
if len(head) == 1:
raw = head[0]
if isinstance(raw, TextMarker):
return str(raw)
elif not isinstance(raw, NativeMarker):
# return non-strings as-is
return raw
else:
# multiple nodes become a string.
return "".join([str(v) for v in chain(head, nodes)])
try:
result = literal_eval(raw)
except (ValueError, SyntaxError, MemoryError):
result = raw
if isinstance(raw, BoolMarker) and not isinstance(result, bool):
raise JinjaRenderingException(
f"Could not convert value '{raw!s}' into type 'bool'"
)
if isinstance(raw, NumberMarker) and not _is_number(result):
raise JinjaRenderingException(
f"Could not convert value '{raw!s}' into type 'number'"
)
return result
class NativeSandboxTemplate(jinja2.nativetypes.NativeTemplate): # mypy: ignore
environment_class = NativeSandboxEnvironment
def render(self, *args, **kwargs):
"""Render the template to produce a native Python type. If the
result is a single node, its value is returned. Otherwise, the
nodes are concatenated as strings. If the result can be parsed
with :func:`ast.literal_eval`, the parsed value is returned.
Otherwise, the string is returned.
"""
vars = dict(*args, **kwargs)
try:
return quoted_native_concat(
self.root_render_func(self.new_context(vars))
)
except Exception:
return self.environment.handle_exception()
NativeSandboxEnvironment.template_class = NativeSandboxTemplate # type: ignore
class TemplateCache:
def __init__(self):
self.file_cache: Dict[str, jinja2.Template] = {}
def get_node_template(self, node) -> jinja2.Template:
key = node.macro_sql
if key in self.file_cache:
return self.file_cache[key]
template = get_template(
string=node.macro_sql,
ctx={},
node=node,
)
self.file_cache[key] = template
return template
def clear(self):
self.file_cache.clear()
template_cache = TemplateCache()
class BaseMacroGenerator:
def __init__(self, context: Optional[Dict[str, Any]] = None) -> None:
self.context: Optional[Dict[str, Any]] = context
def get_template(self):
raise NotImplementedError('get_template not implemented!')
def get_name(self) -> str:
raise NotImplementedError('get_name not implemented!')
def get_macro(self):
name = self.get_name()
template = self.get_template()
# make the module. previously we set both vars and local, but that's
# redundant: They both end up in the same place
# make_module is in jinja2.environment. It returns a TemplateModule
module = template.make_module(vars=self.context, shared=False)
macro = module.__dict__[get_dbt_macro_name(name)]
module.__dict__.update(self.context)
return macro
@contextmanager
def exception_handler(self) -> Iterator[None]:
try:
yield
except (TypeError, jinja2.exceptions.TemplateRuntimeError) as e:
raise_compiler_error(str(e))
def call_macro(self, *args, **kwargs):
# called from __call__ methods
if self.context is None:
raise InternalException(
'Context is still None in call_macro!'
)
assert self.context is not None
macro = self.get_macro()
with self.exception_handler():
try:
return macro(*args, **kwargs)
except MacroReturn as e:
return e.value
class MacroStack(threading.local):
def __init__(self):
super().__init__()
self.call_stack = []
@property
def depth(self) -> int:
return len(self.call_stack)
def push(self, name):
self.call_stack.append(name)
def pop(self, name):
got = self.call_stack.pop()
if got != name:
raise InternalException(f'popped {got}, expected {name}')
class MacroGenerator(BaseMacroGenerator):
def __init__(
self,
macro,
context: Optional[Dict[str, Any]] = None,
node: Optional[Any] = None,
stack: Optional[MacroStack] = None
) -> None:
super().__init__(context)
self.macro = macro
self.node = node
self.stack = stack
def get_template(self):
return template_cache.get_node_template(self.macro)
def get_name(self) -> str:
return self.macro.name
@contextmanager
def exception_handler(self) -> Iterator[None]:
try:
yield
except (TypeError, jinja2.exceptions.TemplateRuntimeError) as e:
raise_compiler_error(str(e), self.macro)
except CompilationException as e:
e.stack.append(self.macro)
raise e
# This adds the macro's unique id to the node's 'depends_on'
@contextmanager
def track_call(self):
# This is only called from __call__
if self.stack is None or self.node is None:
yield
else:
unique_id = self.macro.unique_id
depth = self.stack.depth
# only mark depth=0 as a dependency
if depth == 0:
self.node.depends_on.add_macro(unique_id)
self.stack.push(unique_id)
try:
yield
finally:
self.stack.pop(unique_id)
# this makes MacroGenerator objects callable like functions
def __call__(self, *args, **kwargs):
with self.track_call():
return self.call_macro(*args, **kwargs)
class QueryStringGenerator(BaseMacroGenerator):
def __init__(
self, template_str: str, context: Dict[str, Any]
) -> None:
super().__init__(context)
self.template_str: str = template_str
env = get_environment()
self.template = env.from_string(
self.template_str,
globals=self.context,
)
def get_name(self) -> str:
return 'query_comment_macro'
def get_template(self):
"""Don't use the template cache, we don't have a node"""
return self.template
def __call__(self, connection_name: str, node) -> str:
return str(self.call_macro(connection_name, node))
class MaterializationExtension(jinja2.ext.Extension):
tags = ['materialization']
def parse(self, parser):
node = jinja2.nodes.Macro(lineno=next(parser.stream).lineno)
materialization_name = \
parser.parse_assign_target(name_only=True).name
adapter_name = 'default'
node.args = []
node.defaults = []
while parser.stream.skip_if('comma'):
target = parser.parse_assign_target(name_only=True)
if target.name == 'default':
pass
elif target.name == 'adapter':
parser.stream.expect('assign')
value = parser.parse_expression()
adapter_name = value.value
else:
invalid_materialization_argument(
materialization_name, target.name
)
node.name = get_materialization_macro_name(
materialization_name, adapter_name
)
node.body = parser.parse_statements(('name:endmaterialization',),
drop_needle=True)
return node
class DocumentationExtension(jinja2.ext.Extension):
tags = ['docs']
def parse(self, parser):
node = jinja2.nodes.Macro(lineno=next(parser.stream).lineno)
docs_name = parser.parse_assign_target(name_only=True).name
node.args = []
node.defaults = []
node.name = get_docs_macro_name(docs_name)
node.body = parser.parse_statements(('name:enddocs',),
drop_needle=True)
return node
class TestExtension(jinja2.ext.Extension):
tags = ['test']
def parse(self, parser):
node = jinja2.nodes.Macro(lineno=next(parser.stream).lineno)
test_name = parser.parse_assign_target(name_only=True).name
parser.parse_signature(node)
node.name = get_test_macro_name(test_name)
node.body = parser.parse_statements(('name:endtest',),
drop_needle=True)
return node
def _is_dunder_name(name):
return name.startswith('__') and name.endswith('__')
def create_undefined(node=None):
class Undefined(jinja2.Undefined):
def __init__(self, hint=None, obj=None, name=None, exc=None):
super().__init__(hint=hint, name=name)
self.node = node
self.name = name
self.hint = hint
# jinja uses these for safety, so we have to override them.
# see https://github.com/pallets/jinja/blob/master/jinja2/sandbox.py#L332-L339 # noqa
self.unsafe_callable = False
self.alters_data = False
def __getitem__(self, name):
# Propagate the undefined value if a caller accesses this as if it
# were a dictionary
return self
def __getattr__(self, name):
if name == 'name' or _is_dunder_name(name):
raise AttributeError(
"'{}' object has no attribute '{}'"
.format(type(self).__name__, name)
)
self.name = name
return self.__class__(hint=self.hint, name=self.name)
def __call__(self, *args, **kwargs):
return self
def __reduce__(self):
raise_compiler_error(f'{self.name} is undefined', node=node)
return Undefined
NATIVE_FILTERS: Dict[str, Callable[[Any], Any]] = {
'as_text': TextMarker,
'as_bool': BoolMarker,
'as_native': NativeMarker,
'as_number': NumberMarker,
}
TEXT_FILTERS: Dict[str, Callable[[Any], Any]] = {
'as_text': lambda x: x,
'as_bool': lambda x: x,
'as_native': lambda x: x,
'as_number': lambda x: x,
}
def get_environment(
node=None,
capture_macros: bool = False,
native: bool = False,
) -> jinja2.Environment:
args: Dict[str, List[Union[str, Type[jinja2.ext.Extension]]]] = {
'extensions': ['jinja2.ext.do']
}
if capture_macros:
args['undefined'] = create_undefined(node)
args['extensions'].append(MaterializationExtension)
args['extensions'].append(DocumentationExtension)
args['extensions'].append(TestExtension)
env_cls: Type[jinja2.Environment]
text_filter: Type
if native:
env_cls = NativeSandboxEnvironment
filters = NATIVE_FILTERS
else:
env_cls = MacroFuzzEnvironment
filters = TEXT_FILTERS
env = env_cls(**args)
env.filters.update(filters)
return env
@contextmanager
def catch_jinja(node=None) -> Iterator[None]:
try:
yield
except jinja2.exceptions.TemplateSyntaxError as e:
e.translated = False
raise CompilationException(str(e), node) from e
except jinja2.exceptions.UndefinedError as e:
raise UndefinedMacroException(str(e), node) from e
except CompilationException as exc:
exc.add_node(node)
raise
def parse(string):
with catch_jinja():
return get_environment().parse(str(string))
def get_template(
string: str,
ctx: Dict[str, Any],
node=None,
capture_macros: bool = False,
native: bool = False,
):
with catch_jinja(node):
env = get_environment(node, capture_macros, native=native)
template_source = str(string)
return env.from_string(template_source, globals=ctx)
def render_template(template, ctx: Dict[str, Any], node=None) -> str:
with catch_jinja(node):
return template.render(ctx)
def _requote_result(raw_value: str, rendered: str) -> str:
double_quoted = raw_value.startswith('"') and raw_value.endswith('"')
single_quoted = raw_value.startswith("'") and raw_value.endswith("'")
if double_quoted:
quote_char = '"'
elif single_quoted:
quote_char = "'"
else:
quote_char = ''
return f'{quote_char}{rendered}{quote_char}'
# performance note: Local benmcharking (so take it with a big grain of salt!)
# on this indicates that it is is on average slightly slower than
# checking two separate patterns, but the standard deviation is smaller with
# one pattern. The time difference between the two was ~2 std deviations, which
# is small enough that I've just chosen the more readable option.
_HAS_RENDER_CHARS_PAT = re.compile(r'({[{%#]|[#}%]})')
def get_rendered(
string: str,
ctx: Dict[str, Any],
node=None,
capture_macros: bool = False,
native: bool = False,
) -> str:
# performance optimization: if there are no jinja control characters in the
# string, we can just return the input. Fall back to jinja if the type is
# not a string or if native rendering is enabled (so '1' -> 1, etc...)
# If this is desirable in the native env as well, we could handle the
# native=True case by passing the input string to ast.literal_eval, like
# the native renderer does.
if (
not native and
isinstance(string, str) and
_HAS_RENDER_CHARS_PAT.search(string) is None
):
return string
template = get_template(
string,
ctx,
node,
capture_macros=capture_macros,
native=native,
)
return render_template(template, ctx, node)
def undefined_error(msg) -> NoReturn:
raise jinja2.exceptions.UndefinedError(msg)
def extract_toplevel_blocks(
data: str,
allowed_blocks: Optional[Set[str]] = None,
collect_raw_data: bool = True,
) -> List[Union[BlockData, BlockTag]]:
"""Extract the top level blocks with matching block types from a jinja
file, with some special handling for block nesting.
:param data: The data to extract blocks from.
:param allowed_blocks: The names of the blocks to extract from the file.
They may not be nested within if/for blocks. If None, use the default
values.
:param collect_raw_data: If set, raw data between matched blocks will also
be part of the results, as `BlockData` objects. They have a
`block_type_name` field of `'__dbt_data'` and will never have a
`block_name`.
:return: A list of `BlockTag`s matching the allowed block types and (if
`collect_raw_data` is `True`) `BlockData` objects.
"""
return BlockIterator(data).lex_for_blocks(
allowed_blocks=allowed_blocks,
collect_raw_data=collect_raw_data
)
SCHEMA_TEST_KWARGS_NAME = '_dbt_schema_test_kwargs'
def add_rendered_test_kwargs(
context: Dict[str, Any],
node: Union[ParsedSchemaTestNode, CompiledSchemaTestNode],
capture_macros: bool = False,
) -> None:
"""Render each of the test kwargs in the given context using the native
renderer, then insert that value into the given context as the special test
keyword arguments member.
"""
looks_like_func = r'^\s*(env_var|ref|var|source|doc)\s*\(.+\)\s*$'
def _convert_function(
value: Any, keypath: Tuple[Union[str, int], ...]
) -> Any:
if isinstance(value, str):
if keypath == ('column_name',):
# special case: Don't render column names as native, make them
# be strings
return value
if re.match(looks_like_func, value) is not None:
# curly braces to make rendering happy
value = f'{{{{ {value} }}}}'
value = get_rendered(
value, context, node, capture_macros=capture_macros,
native=True
)
return value
kwargs = deep_map(_convert_function, node.test_metadata.kwargs)
context[SCHEMA_TEST_KWARGS_NAME] = kwargs