2025-04-16 22:12:19 +02:00

321 lines
12 KiB
Python

import os
import glob
from biocypher._logger import logger
from biocypher.output.write._batch_writer import _BatchWriter
class _PostgreSQLBatchWriter(_BatchWriter):
"""
Class for writing node and edge representations to disk using the
format specified by PostgreSQL for the use of "COPY FROM...". Each batch
writer instance has a fixed representation that needs to be passed
at instantiation via the :py:attr:`schema` argument. The instance
also expects an ontology adapter via :py:attr:`ontology_adapter` to be able
to convert and extend the hierarchy.
This class inherits from the abstract class "_BatchWriter" and implements the
PostgreSQL-specific methods:
- _write_node_headers
- _write_edge_headers
- _construct_import_call
- _write_array_string
"""
DATA_TYPE_LOOKUP = {
"str": "VARCHAR", # VARCHAR needs limit
"int": "INTEGER",
"long": "BIGINT",
"float": "NUMERIC",
"double": "NUMERIC",
"dbl": "NUMERIC",
"boolean": "BOOLEAN",
"str[]": "VARCHAR[]",
"string[]": "VARCHAR[]",
}
def __init__(self, *args, **kwargs):
self._copy_from_csv_commands = set()
super().__init__(*args, **kwargs)
def _get_default_import_call_bin_prefix(self):
"""
Method to provide the default string for the import call bin prefix.
Returns:
str: The default location for the psql command
"""
return ""
def _get_data_type(self, string) -> str:
try:
return self.DATA_TYPE_LOOKUP[string]
except KeyError:
logger.info(
'Could not determine data type {string}. Using default "VARCHAR"'
)
return "VARCHAR"
def _write_array_string(self, string_list) -> str:
"""
Abstract method to output.write the string representation of an array into a .csv file
as required by the postgresql COPY command, with '{','}' brackets and ',' separation.
Args:
string_list (list): list of ontology strings
Returns:
str: The string representation of an array for postgres COPY
"""
string = ",".join(string_list)
string = f'"{{{string}}}"'
return string
def _get_import_script_name(self) -> str:
"""
Returns the name of the psql import script
Returns:
str: The name of the import script (ending in .sh)
"""
return f"{self.db_name}-import-call.sh"
def _adjust_pascal_to_psql(self, string):
string = string.replace(".", "_")
string = string.lower()
return string
def _write_node_headers(self):
"""
Writes single CSV file for a graph entity that is represented
as a node as per the definition in the `schema_config.yaml`,
containing only the header for this type of node.
Returns:
bool: The return value. True for success, False otherwise.
"""
# load headers from data parse
if not self.node_property_dict:
logger.error(
"Header information not found. Was the data parsed first?",
)
return False
for label, props in self.node_property_dict.items():
# create header CSV with ID, properties, labels
# translate label to PascalCase
pascal_label = self.translator.name_sentence_to_pascal(label)
parts = f"{pascal_label}-part*.csv"
parts_paths = os.path.join(self.outdir, parts)
parts_paths = glob.glob(parts_paths)
parts_paths.sort()
# adjust label for import to psql
pascal_label = self._adjust_pascal_to_psql(pascal_label)
table_create_command_path = os.path.join(
self.outdir,
f"{pascal_label}-create_table.sql",
)
# check if file already exists
if os.path.exists(table_create_command_path):
logger.warning(
f"File {table_create_command_path} already exists. Overwriting.",
)
# concatenate key:value in props
columns = ["_ID VARCHAR"]
for col_name, col_type in props.items():
col_type = self._get_data_type(col_type)
col_name = self._adjust_pascal_to_psql(col_name)
columns.append(f"{col_name} {col_type}")
columns.append("_LABEL VARCHAR[]")
with open(table_create_command_path, "w", encoding="utf-8") as f:
command = ""
if self.wipe:
command += f"DROP TABLE IF EXISTS {pascal_label};\n"
# table creation requires comma separation
command += (
f'CREATE TABLE {pascal_label}({",".join(columns)});\n'
)
f.write(command)
for parts_path in parts_paths:
# if import_call_file_prefix is set, replace actual path
# with prefix
if self.import_call_file_prefix != self.outdir:
parts_path = parts_path.replace(
self.outdir,
self.import_call_file_prefix,
)
self._copy_from_csv_commands.add(
f"\\copy {pascal_label} FROM '{parts_path}' DELIMITER E'{self.delim}' CSV;"
)
# add file path to import statement
# if import_call_file_prefix is set, replace actual path
# with prefix
if self.import_call_file_prefix != self.outdir:
table_create_command_path = table_create_command_path.replace(
self.outdir,
self.import_call_file_prefix,
)
self.import_call_nodes.add(table_create_command_path)
return True
def _write_edge_headers(self):
"""
Writes single CSV file for a graph entity that is represented
as an edge as per the definition in the `schema_config.yaml`,
containing only the header for this type of edge.
Returns:
bool: The return value. True for success, False otherwise.
"""
# load headers from data parse
if not self.edge_property_dict:
logger.error(
"Header information not found. Was the data parsed first?",
)
return False
for label, props in self.edge_property_dict.items():
# translate label to PascalCase
pascal_label = self.translator.name_sentence_to_pascal(label)
parts_paths = os.path.join(self.outdir, f"{pascal_label}-part*.csv")
parts_paths = glob.glob(parts_paths)
parts_paths.sort()
# adjust label for import to psql
pascal_label = self._adjust_pascal_to_psql(pascal_label)
table_create_command_path = os.path.join(
self.outdir,
f"{pascal_label}-create_table.sql",
)
# check for file exists
if os.path.exists(table_create_command_path):
logger.warning(
f"File {table_create_command_path} already exists. Overwriting.",
)
# concatenate key:value in props
columns = []
for col_name, col_type in props.items():
col_type = self._get_data_type(col_type)
col_name = self._adjust_pascal_to_psql(col_name)
if col_name == "_ID":
# should ideally never happen
raise ValueError(
"Column name '_ID' is reserved for internal use, "
"denoting the relationship ID. Please choose a "
"different name for your column."
)
columns.append(f"{col_name} {col_type}")
# create list of lists and flatten
# removes need for empty check of property list
out_list = [
"_START_ID VARCHAR",
"_ID VARCHAR",
*columns,
"_END_ID VARCHAR",
"_TYPE VARCHAR",
]
with open(table_create_command_path, "w", encoding="utf-8") as f:
command = ""
if self.wipe:
command += f"DROP TABLE IF EXISTS {pascal_label};\n"
# table creation requires comma separation
command += (
f'CREATE TABLE {pascal_label}({",".join(out_list)});\n'
)
f.write(command)
for parts_path in parts_paths:
# if import_call_file_prefix is set, replace actual path
# with prefix
if self.import_call_file_prefix != self.outdir:
parts_path = parts_path.replace(
self.outdir,
self.import_call_file_prefix,
)
self._copy_from_csv_commands.add(
f"\\copy {pascal_label} FROM '{parts_path}' DELIMITER E'{self.delim}' CSV;"
)
# add file path to import statement
# if import_call_file_prefix is set, replace actual path
# with prefix
if self.import_call_file_prefix != self.outdir:
table_create_command_path = table_create_command_path.replace(
self.outdir,
self.import_call_file_prefix,
)
self.import_call_edges.add(table_create_command_path)
return True
def _construct_import_call(self) -> str:
"""
Function to construct the import call detailing folder and
individual node and edge headers and data files, as well as
delimiters and database name. Built after all data has been
processed to ensure that nodes are called before any edges.
Returns:
str: a bash command for postgresql import
"""
import_call = ""
# create tables
# At this point, csv files of nodes and edges do not require differentiation
for import_file_path in [
*self.import_call_nodes,
*self.import_call_edges,
]:
import_call += f'echo "Setup {import_file_path}..."\n'
if {self.db_password}:
# set password variable inline
import_call += f"PGPASSWORD={self.db_password} "
import_call += (
f"{self.import_call_bin_prefix}psql -f {import_file_path}"
)
import_call += f" --dbname {self.db_name}"
import_call += f" --host {self.db_host}"
import_call += f" --port {self.db_port}"
import_call += f" --user {self.db_user}"
import_call += '\necho "Done!"\n'
import_call += "\n"
# copy data to tables
for command in self._copy_from_csv_commands:
table_part = command.split(" ")[3]
import_call += f'echo "Importing {table_part}..."\n'
if {self.db_password}:
# set password variable inline
import_call += f"PGPASSWORD={self.db_password} "
import_call += f'{self.import_call_bin_prefix}psql -c "{command}"'
import_call += f" --dbname {self.db_name}"
import_call += f" --host {self.db_host}"
import_call += f" --port {self.db_port}"
import_call += f" --user {self.db_user}"
import_call += '\necho "Done!"\n'
import_call += "\n"
return import_call