def load_file(
self,
path: FilePath,
*,
set_contents: bool = True,
) -> SourceFile:
file_contents = load_file_contents(path.absolute_path, strip=False)
checksum = FileHash.from_contents(file_contents)
source_file = SourceFile(path=path, checksum=checksum)
if set_contents:
source_file.contents = file_contents.strip()
else:
source_file.contents = ''
return source_file
def load_source_file(path: FilePath, parse_file_type: ParseFileType,
project_name: str) -> SourceFile:
file_contents = load_file_contents(path.absolute_path, strip=False)
checksum = FileHash.from_contents(file_contents)
source_file = SourceFile(path=path,
checksum=checksum,
parse_file_type=parse_file_type,
project_name=project_name)
source_file.contents = file_contents.strip()
return source_file
def use_models(self, models):
for k, v in models.items():
path = FilePath(
searched_path='models',
project_root=os.path.normcase(os.getcwd()),
relative_path='{}.sql'.format(k),
)
# FileHash can't be empty or 'search_key' will be None
source_file = SourceFile(path=path, checksum=FileHash.from_contents('abc'))
source_file.contents = v
self.mock_models.append(source_file)
def load_seed_source_file(match: FilePath, project_name) -> SourceFile:
if match.seed_too_large():
# We don't want to calculate a hash of this file. Use the path.
source_file = SourceFile.big_seed(match)
else:
file_contents = load_file_contents(match.absolute_path, strip=False)
checksum = FileHash.from_contents(file_contents)
source_file = SourceFile(path=match, checksum=checksum)
source_file.contents = ''
source_file.parse_file_type = ParseFileType.Seed
source_file.project_name = project_name
return source_file
def file_block_for(self, data: str, filename: str, searched: str):
root_dir = get_abs_os_path('./dbt_modules/snowplow')
filename = normalize(filename)
path = FilePath(
searched_path=searched,
relative_path=filename,
project_root=root_dir,
)
source_file = SourceFile(
path=path,
checksum=FileHash.from_contents(data),
)
source_file.contents = data
return FileBlock(file=source_file)