added self.tables_data

This commit is contained in:
Kevin Veen-Birkenbach 2023-09-05 02:36:14 +02:00
parent 0c0a96213f
commit 1e36759a21
2 changed files with 21 additions and 20 deletions

View File

@ -13,7 +13,6 @@ def main():
args = parse_arguments()
api = BaserowAPI(args.base_url, args.api_key, args.verbose)
data_processor = DataProcessor(api, args.verbose)
matrix_builder = MatrixBuilder(data_processor, args.verbose)
if args.table_ids:
tables_data = fetch_table_data(data_processor, args.table_ids)
@ -26,7 +25,8 @@ def main():
handle_output(args.quiet, tables_data)
if "matrix" in args.output:
matrix_data = matrix_builder.build_multitable_matrix(tables_data)
matrix_builder = MatrixBuilder(data_processor,tables_data, args.verbose)
matrix_data = matrix_builder.build_multitable_matrix()
handle_output(args.quiet, matrix_data)
if args.database_id:

View File

@ -1,33 +1,34 @@
from data_processor import DataProcessor
class MatrixBuilder:
def __init__(self, data_processor, verbose=False):
def __init__(self, data_processor, tables_data, verbose=False):
self.data_processor = data_processor
self.tables_data = tables_data
self.verbose = verbose
def build_multitable_matrix(self, tables_data):
def build_multitable_matrix(self):
matrix = {}
for table_name, table_rows in tables_data.items():
for table_name, table_rows in self.tables_data.items():
self.print_verbose_message(f"Building matrix for table: {table_name}")
matrix[table_name] = self._build_matrix_for_table(tables_data, table_name, table_rows.copy())
matrix[table_name] = self._build_matrix_for_table(table_name, table_rows.copy())
return matrix
def _build_matrix_for_table(self, tables_data, table_name, table_rows, reference_map={}):
def _build_matrix_for_table(self, table_name, table_rows, reference_map={}):
self.print_verbose_message(f"Starting matrix build for table: {table_name}")
matrix = {table_name: table_rows}
reference_map = reference_map.copy()
self._process_link_fields(table_name, tables_data, reference_map)
self._populate_matrix_with_related_content(tables_data, matrix, table_name, table_rows, reference_map)
self._process_link_fields(table_name, reference_map)
self._populate_matrix_with_related_content(matrix, table_name, table_rows, reference_map)
return matrix[table_name]
def _populate_matrix_with_related_content(self, tables_data, matrix, table_name, table_rows, reference_map):
def _populate_matrix_with_related_content(self, matrix, table_name, table_rows, reference_map):
for table_row in table_rows:
for column_name, cell_content in table_row.items():
if column_name in reference_map:
self.print_verbose_message(f"Handling linked content for column: {column_name}")
self._handle_linked_content(tables_data, matrix, table_row, column_name, cell_content, reference_map)
self._handle_linked_content(matrix, table_row, column_name, cell_content, reference_map)
def _handle_linked_content(self, tables_data, matrix, table_row, column_name, cell_content, reference_map):
def _handle_linked_content(self, matrix, table_row, column_name, cell_content, reference_map):
link_table_id = reference_map[column_name]["link_row_table_id"]
link_field_id = reference_map[column_name]["link_row_related_field_id"]
@ -35,35 +36,35 @@ class MatrixBuilder:
raise Exception("link_row_related_field_id has to be a positive number")
self.print_verbose_message(f"Fetching related content for table ID: {link_table_id} and field ID: {link_field_id}")
new_content = self._fetch_related_content(tables_data, matrix, cell_content, link_table_id, link_field_id, reference_map)
new_content = self._fetch_related_content(matrix, cell_content, link_table_id, link_field_id, reference_map)
table_row[column_name] = new_content
def _fetch_related_content(self, tables_data, matrix, cell_content, link_table_id, link_field_id, reference_map):
def _fetch_related_content(self, matrix, cell_content, link_table_id, link_field_id, reference_map):
new_content = []
for entry in cell_content:
related_cell_id = self._generate_related_cell_identifier(link_table_id, link_field_id, entry["id"])
self.print_verbose_message(f"Generated related cell identifier: {related_cell_id}")
if related_cell_id not in reference_map.get("embeded", []):
reference_map.setdefault("embeded", []).append(related_cell_id)
matrix[link_table_id] = self._build_matrix_for_table(tables_data, link_table_id, tables_data[link_table_id].copy(), reference_map)
matrix[link_table_id] = self._build_matrix_for_table(link_table_id, self.tables_data[link_table_id].copy(), reference_map)
new_content.append(entry)
return new_content
def _generate_related_cell_identifier(self, table_id, column_id, row_id):
return f"table_{table_id}_field_{column_id}_row_{row_id}"
def _process_link_fields(self, table_name, tables_data, reference_map):
def _process_link_fields(self, table_name, reference_map):
link_fields = self.data_processor.get_link_fields_for_table(table_name)
for link_field in link_fields:
self.print_verbose_message(f"Processing link fields for table: {table_name}")
self._load_table_data_if_missing(link_field, tables_data)
self._load_table_data_if_missing(link_field)
self._update_reference_map(link_field, reference_map)
def _load_table_data_if_missing(self, link_field, tables_data):
def _load_table_data_if_missing(self, link_field):
link_table_id = link_field["link_row_table_id"]
if link_table_id not in tables_data:
if link_table_id not in self.tables_data:
self.print_verbose_message(f"Loading data for missing table ID: {link_table_id}")
tables_data[link_table_id] = self.data_processor.get_all_rows_from_table(link_table_id)
self.tables_data[link_table_id] = self.data_processor.get_all_rows_from_table(link_table_id)
def _update_reference_map(self, link_field, reference_map):
field_name = f"field_{link_field['id']}"