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https://github.com/kevinveenbirkenbach/baserow-ifto.git
synced 2024-11-01 01:23:10 +01:00
added self.tables_data
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parent
0c0a96213f
commit
1e36759a21
@ -13,7 +13,6 @@ def main():
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args = parse_arguments()
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api = BaserowAPI(args.base_url, args.api_key, args.verbose)
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data_processor = DataProcessor(api, args.verbose)
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matrix_builder = MatrixBuilder(data_processor, args.verbose)
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if args.table_ids:
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tables_data = fetch_table_data(data_processor, args.table_ids)
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@ -26,7 +25,8 @@ def main():
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handle_output(args.quiet, tables_data)
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if "matrix" in args.output:
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matrix_data = matrix_builder.build_multitable_matrix(tables_data)
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matrix_builder = MatrixBuilder(data_processor,tables_data, args.verbose)
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matrix_data = matrix_builder.build_multitable_matrix()
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handle_output(args.quiet, matrix_data)
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if args.database_id:
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@ -1,33 +1,34 @@
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from data_processor import DataProcessor
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class MatrixBuilder:
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def __init__(self, data_processor, verbose=False):
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def __init__(self, data_processor, tables_data, verbose=False):
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self.data_processor = data_processor
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self.tables_data = tables_data
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self.verbose = verbose
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def build_multitable_matrix(self, tables_data):
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def build_multitable_matrix(self):
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matrix = {}
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for table_name, table_rows in tables_data.items():
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for table_name, table_rows in self.tables_data.items():
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self.print_verbose_message(f"Building matrix for table: {table_name}")
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matrix[table_name] = self._build_matrix_for_table(tables_data, table_name, table_rows.copy())
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matrix[table_name] = self._build_matrix_for_table(table_name, table_rows.copy())
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return matrix
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def _build_matrix_for_table(self, tables_data, table_name, table_rows, reference_map={}):
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def _build_matrix_for_table(self, table_name, table_rows, reference_map={}):
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self.print_verbose_message(f"Starting matrix build for table: {table_name}")
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matrix = {table_name: table_rows}
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reference_map = reference_map.copy()
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self._process_link_fields(table_name, tables_data, reference_map)
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self._populate_matrix_with_related_content(tables_data, matrix, table_name, table_rows, reference_map)
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self._process_link_fields(table_name, reference_map)
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self._populate_matrix_with_related_content(matrix, table_name, table_rows, reference_map)
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return matrix[table_name]
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def _populate_matrix_with_related_content(self, tables_data, matrix, table_name, table_rows, reference_map):
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def _populate_matrix_with_related_content(self, matrix, table_name, table_rows, reference_map):
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for table_row in table_rows:
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for column_name, cell_content in table_row.items():
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if column_name in reference_map:
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self.print_verbose_message(f"Handling linked content for column: {column_name}")
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self._handle_linked_content(tables_data, matrix, table_row, column_name, cell_content, reference_map)
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self._handle_linked_content(matrix, table_row, column_name, cell_content, reference_map)
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def _handle_linked_content(self, tables_data, matrix, table_row, column_name, cell_content, reference_map):
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def _handle_linked_content(self, matrix, table_row, column_name, cell_content, reference_map):
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link_table_id = reference_map[column_name]["link_row_table_id"]
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link_field_id = reference_map[column_name]["link_row_related_field_id"]
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@ -35,35 +36,35 @@ class MatrixBuilder:
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raise Exception("link_row_related_field_id has to be a positive number")
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self.print_verbose_message(f"Fetching related content for table ID: {link_table_id} and field ID: {link_field_id}")
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new_content = self._fetch_related_content(tables_data, matrix, cell_content, link_table_id, link_field_id, reference_map)
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new_content = self._fetch_related_content(matrix, cell_content, link_table_id, link_field_id, reference_map)
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table_row[column_name] = new_content
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def _fetch_related_content(self, tables_data, matrix, cell_content, link_table_id, link_field_id, reference_map):
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def _fetch_related_content(self, matrix, cell_content, link_table_id, link_field_id, reference_map):
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new_content = []
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for entry in cell_content:
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related_cell_id = self._generate_related_cell_identifier(link_table_id, link_field_id, entry["id"])
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self.print_verbose_message(f"Generated related cell identifier: {related_cell_id}")
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if related_cell_id not in reference_map.get("embeded", []):
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reference_map.setdefault("embeded", []).append(related_cell_id)
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matrix[link_table_id] = self._build_matrix_for_table(tables_data, link_table_id, tables_data[link_table_id].copy(), reference_map)
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matrix[link_table_id] = self._build_matrix_for_table(link_table_id, self.tables_data[link_table_id].copy(), reference_map)
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new_content.append(entry)
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return new_content
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def _generate_related_cell_identifier(self, table_id, column_id, row_id):
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return f"table_{table_id}_field_{column_id}_row_{row_id}"
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def _process_link_fields(self, table_name, tables_data, reference_map):
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def _process_link_fields(self, table_name, reference_map):
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link_fields = self.data_processor.get_link_fields_for_table(table_name)
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for link_field in link_fields:
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self.print_verbose_message(f"Processing link fields for table: {table_name}")
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self._load_table_data_if_missing(link_field, tables_data)
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self._load_table_data_if_missing(link_field)
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self._update_reference_map(link_field, reference_map)
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def _load_table_data_if_missing(self, link_field, tables_data):
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def _load_table_data_if_missing(self, link_field):
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link_table_id = link_field["link_row_table_id"]
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if link_table_id not in tables_data:
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if link_table_id not in self.tables_data:
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self.print_verbose_message(f"Loading data for missing table ID: {link_table_id}")
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tables_data[link_table_id] = self.data_processor.get_all_rows_from_table(link_table_id)
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self.tables_data[link_table_id] = self.data_processor.get_all_rows_from_table(link_table_id)
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def _update_reference_map(self, link_field, reference_map):
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field_name = f"field_{link_field['id']}"
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