Source code for axonius_api_client.api.asset_callbacks.base_json_to_csv

# -*- coding: utf-8 -*-
"""JSON to CSV export callbacks."""
import json
import tempfile
from typing import List, Union

from ...tools import listify
from .base_csv import Csv


[docs]class JsonToCsv(Csv): """Callbacks for formatting asset data and exporting it in CSV format using a temp JSON file. Examples: Create a ``client`` using :obj:`axonius_api_client.connect.Connect` and assume ``apiobj`` is either ``client.devices`` or ``client.users`` >>> apiobj = client.devices # or client.users * :meth:`args_map` for callback generic arguments to format assets. * :meth:`args_map_custom` for callback specific arguments to format and export data. """
[docs] @classmethod def args_map_custom(cls) -> dict: """Get the custom argument names and their defaults for this callbacks object. Examples: Export the output to STDOUT. If ``export_file`` is not supplied, the default is to print the output to STDOUT. >>> assets = apiobj.get(export="json_to_csv") Export the output to a file in the default path :attr:`axonius_api_client.setup_env.DEFAULT_PATH`. >>> assets = apiobj.get(export="json_to_csv", export_file="test.csv") Export the output to an absolute path file (ignoring ``export_path``) and overwrite the file if it exists. >>> assets = apiobj.get( ... export="json_to_csv", ... export_file="/tmp/output.csv", ... export_overwrite=True, ... ) Export the output to a file in a specific dir. >>> assets = apiobj.get( ... export="json_to_csv", export_file="output.csv", export_path="/tmp" ... ) Include the schema of all selected fields in the output. >>> assets = apiobj.get(export="json_to_csv", export_schema=True) Export the output to a specific file descriptor and do not close the file descriptor when finished. >>> fd = io.StringIO() >>> assets = apiobj.get(export="json_to_csv", export_fd=fd, export_fd_close=False) Use 'missing' instead of None for rows that are missing a column. >>> assets = apiobj.get( ... export="json_to_csv", export_file="test.csv", csv_key_miss='missing' .... ) Throw an error if an unknown column is found in a row. Must be one of: 'ignore' or 'raise'. >>> assets = apiobj.get( ... export="json_to_csv", export_file="test.csv", csv_key_extras='raise' ... ) Use 'excel-tab' format instead of 'excel'. Must be one of 'excel', 'excel-tab', or 'unix'. >>> assets = apiobj.get( ... export="json_to_csv", export_file="test.csv", csv_dialect='excel-tab' ... ) Quote all items instead of just non-numeric. Must be one of 'all', 'minimal', 'nonnumeric', or 'none'. >>> assets = apiobj.get( ... export="json_to_csv", export_file="test.csv", csv_quoting='all' ... ) See Also: * :meth:`args_map` for callback generic arguments to format assets. Notes: This callbacks object forces the following arguments to True in order to make the output usable in the exported format: ``field_null``, ``field_flatten``, and ``field_join`` These arguments can be supplied as extra kwargs passed to :meth:`axonius_api_client.api.assets.users.Users.get` or :meth:`axonius_api_client.api.assets.devices.Devices.get` """ args = {} args.update(cls.args_map_export()) args.update( { "field_titles": True, "field_flatten": True, "field_join": True, "field_null": True, "csv_key_miss": None, "csv_key_extras": "ignore", "csv_dialect": "excel", "csv_quoting": "nonnumeric", } ) return args
[docs] def start(self, **kwargs): """Start this callbacks object.""" super(Csv, self).start(**kwargs) self.open_fd() self._temp_file = tempfile.NamedTemporaryFile(mode="w+", encoding="utf-8") self.echo(msg=f"Writing JSON to temporary file {self._temp_file.name!r}")
[docs] def stop(self, **kwargs): """Stop this callbacks object.""" self.STATE["rows_processed_total"] = 0 self.do_start(**kwargs) self.echo(msg="Re-reading temporary file and converting to CSV") self._temp_file.file.seek(0) for line in self._temp_file.file.readlines(): row = json.loads(line.strip()) rows = listify(row) rows = self.do_pre_row(rows=rows) rows = self.do_row(rows=rows) self.write_rows(rows=rows) del rows, row, line self.echo(msg=f"Closing and deleting temporary file {self._temp_file.name!r}") self._temp_file.file.close() super(JsonToCsv, self).stop(**kwargs)
[docs] def process_row(self, row: Union[List[dict], dict]) -> List[dict]: """Process the callbacks for current row. Args: row: row to process """ rows = listify(row) row_return = [{"internal_axon_id": row["internal_axon_id"]} for row in rows] rows = self.do_pre_row(rows=rows) for row in rows: value = json.dumps(row) self._temp_file.file.write(f"{value}\n") del row, value return row_return
CB_NAME: str = "json_to_csv" """name for this callback"""