def create_local_file(self, award_type, source, agency_code, generate_since):
""" Generate complete file from SQL query and S3 bucket deletion files, then zip it locally """
logger.info("Generating CSV file with creations and modifications")
# Create file paths and working directory
timestamp = datetime.strftime(datetime.now(), "%Y%m%d%H%M%S%f")
working_dir = f"{settings.CSV_LOCAL_PATH}_{agency_code}_delta_gen_{timestamp}/"
if not os.path.exists(working_dir):
os.mkdir(working_dir)
agency_str = "All" if agency_code == "all" else agency_code
source_name = f"FY(All)_{agency_str}_{award_type}_Delta_{datetime.strftime(date.today(), '%Y%m%d')}"
source_path = os.path.join(working_dir, "{}.csv".format(source_name))
# Create a unique temporary file with the raw query
raw_quoted_query = generate_raw_quoted_query(source.row_emitter(None)) # None requests all headers
# The raw query is a union of two other queries, each in parentheses. To do replacement we need to split out
# each query, apply annotations to each of those, then recombine in a UNION
csv_query_annotated = (
"("
+ apply_annotations_to_sql(_top_level_split(raw_quoted_query, "UNION")[0].strip()[1:-1], source.human_names)
+ ") UNION ("
+ apply_annotations_to_sql(_top_level_split(raw_quoted_query, "UNION")[1].strip()[1:-1], source.human_names)
+ ")"
)
(temp_sql_file, temp_sql_file_path) = tempfile.mkstemp(prefix="bd_sql_", dir="/tmp")
with open(temp_sql_file_path, "w") as file:
file.write("\\copy ({}) To STDOUT with CSV HEADER".format(csv_query_annotated))
logger.info("Generated temp SQL file {}".format(temp_sql_file_path))
# Generate the csv with \copy
cat_command = subprocess.Popen(["cat", temp_sql_file_path], stdout=subprocess.PIPE)
try:
subprocess.check_output(
["psql", "-o", source_path, os.environ["DOWNLOAD_DATABASE_URL"], "-v", "ON_ERROR_STOP=1"],
stdin=cat_command.stdout,
stderr=subprocess.STDOUT,
)
except subprocess.CalledProcessError as e:
logger.exception(e.output)
raise e
# Append deleted rows to the end of the file
if not self.debugging_skip_deleted:
self.add_deletion_records(source_path, working_dir, award_type, agency_code, source, generate_since)
if count_rows_in_delimited_file(source_path, has_header=True, safe=True) > 0:
# Split the CSV into multiple files and zip it up
zipfile_path = "{}{}.zip".format(settings.CSV_LOCAL_PATH, source_name)
logger.info("Creating compressed file: {}".format(os.path.basename(zipfile_path)))
split_and_zip_data_files(zipfile_path, source_path, source_name, "csv")
else:
zipfile_path = None
os.close(temp_sql_file)
os.remove(temp_sql_file_path)
shutil.rmtree(working_dir)
return zipfile_path
def test_top_level_split_nesting_logic():
unnested_string = "sdfoing SPLT noivijf"
assert _top_level_split(unnested_string, "SPLT") == ["sdfoing ", " noivijf"]
nested_string_1 = "() blah SP pojf"
assert _top_level_split(nested_string_1, "SP") == ["() blah ", " pojf"]
nested_string_2 = "(SP) blah SP pojf"
assert _top_level_split(nested_string_2, "SP") == ["(SP) blah ", " pojf"]
nested_string_3 = "(SP) blah SP (pojf SP) SP"
assert _top_level_split(nested_string_3, "SP") == ["(SP) blah ", " (pojf SP) SP"]
nested_string_4 = "((SP)) blah ()SP (pojf SP) SP"
assert _top_level_split(nested_string_4, "SP") == ["((SP)) blah ()", " (pojf SP) SP"]
def test_top_level_split_unsplittable():
unsplittable = "sdoiaghioweg oijfewiwje efoiwnovisper"
with pytest.raises(Exception):
_top_level_split(unsplittable, "not in this")
def test_top_level_split_quote_logic():
unquoted_string = "oinodsg *** vsdoij"
assert _top_level_split(unquoted_string, "***") == ["oinodsg ", " vsdoij"]
quoted_string_1 = 'oinodsg "***"*** vsdoij'
assert _top_level_split(quoted_string_1,
"***") == ['oinodsg "***"', " vsdoij"]
