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Recursiv loading base
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@ -75,47 +75,65 @@ class BaserowAPI:
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return data
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return data
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def fetch_fields_for_table(self, table_id):
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def fetch_fields_for_table(self, table_id):
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"""Fetch fields for a given table."""
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self.print_verbose_message("Fetch fields for a given table.")
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response = self.request_response(f"database/fields/table/{table_id}/")
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response = self.request_response(f"database/fields/table/{table_id}/")
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if response.status_code == 200:
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if response.status_code == 200:
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return response.json()
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return response.json()
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raise Exception(f"Failed to fetch fields for table {table_id}. Status code: {response.status_code}")
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raise Exception(f"Failed to fetch fields for table {table_id}. Status code: {response.status_code}")
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def merge_tables_on_reference(self, tables_data):
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self.print_verbose_message("Merging tables based on references...")
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indexed_data = self.index_tables_by_id(tables_data)
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link_fields = self.get_link_fields_for_all_tables(tables_data)
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self.embed_referenced_data_into_tables(tables_data, indexed_data, link_fields)
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self.print_verbose_message(f"Merged Tables Data: {tables_data}")
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return tables_data
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def index_tables_by_id(self, tables_data):
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indexed_data = {table_name: {row['id']: row for row in rows} for table_name, rows in tables_data.items()}
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self.print_verbose_message(f"Indexed Data: {indexed_data}")
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return indexed_data
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def get_link_fields_for_all_tables(self, tables_data):
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def get_link_fields_for_all_tables(self, tables_data):
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link_fields = {}
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link_fields = {}
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for table_name in tables_data:
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for table_name in tables_data:
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link_fields_for_table = self.get_link_fields_for_table(table_name)
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link_fields_for_table = self.get_link_fields_for_table(table_name)
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link_fields[table_name] = link_fields_for_table
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link_fields[table_name] = link_fields_for_table
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self.print_verbose_message(f"Link Fields For Table: {link_fields_for_table}")
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self.print_verbose_message(f"Link Fields: {link_fields}")
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return link_fields
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return link_fields
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def get_link_fields_for_table(self, table_name):
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def get_link_fields_for_table(self, table_name):
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fields = self.fetch_fields_for_table(table_name)
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fields = self.fetch_fields_for_table(table_name)
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return [field for field in fields if field['type'] == 'link_row']
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return [field for field in fields if field['type'] == 'link_row']
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def embed_referenced_data_into_tables(self, tables_data, indexed_data, link_fields):
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def get_tables(self,table_ids):
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for table_name, rows in tables_data.items():
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tables_data = {}
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for row in rows:
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for table_id in table_ids:
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self.embed_data_for_row(row, table_name, indexed_data, link_fields)
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table_data = self.get_all_rows_from_table(table_id.strip())
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tables_data[table_id] = table_data
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return tables_data
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def build_matrix(self, tables_data, reference_map={}):
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"""Build a matrix with linked rows filled recursively."""
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reference_map_child=reference_map.copy()
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for table_name, table_rows in list(tables_data.items()):
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link_fields=self.get_link_fields_for_table(table_name)
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#create a copy of reference map, so that it is just used for this path
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for link_field in link_fields:
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link_row_table_id=link_field["link_row_table_id"]
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# Load table data if not loaded
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if not link_row_table_id in tables_data:
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tables_data[link_row_table_id]=self.get_all_rows_from_table(link_row_table_id)
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link_field_name="field_" + str(link_field["id"])
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if not link_field_name in reference_map_child:
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reference_map_child[link_field_name]=link_field
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reference_map_child[link_field_name]["embeded_by"]=[]
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self.print_verbose_message(f"reference_map_child: {reference_map_child}")
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for table_name, table_rows in list(tables_data.items()):
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# Fill cells with related content
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for table_row in table_rows:
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self.print_verbose_message(f"table_row: {table_row}");
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for table_column_name, table_cell_content in table_row.items():
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# Don't iterate twice over the same part
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if table_column_name in reference_map_child:
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cell_identifier="table_" + table_name + "_" + table_column_name + "_row_" + str(table_row["id"])
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self.print_verbose_message(f"cell_identifier: {cell_identifier}");
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embeder_field_name=reference_map_child[table_column_name]["link_row_related_field_id"]
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self.print_verbose_message(f"embeder_field_name: {embeder_field_name}");
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if cell_identifier in reference_map_child[embeder_field_name]["embeded_by"]:
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self.print_verbose_message(f"NOT EMBEDED!");
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break
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return tables_data
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def embed_data_for_row(self, row, table_name, indexed_data, link_fields):
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for link_field in link_fields[table_name]:
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field_name = link_field['name']
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referenced_table_id = link_field['link_row_table_id']
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if field_name in row and row[field_name] in indexed_data[referenced_table_id]:
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self.print_verbose_message(f"Embedding referenced data for field {field_name} in table {table_name}")
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row[field_name] = indexed_data[referenced_table_id][row[field_name]]
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@ -17,13 +17,13 @@ def main():
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linked_fields_data = api.get_link_fields_for_all_tables(tables_data)
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linked_fields_data = api.get_link_fields_for_all_tables(tables_data)
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handle_output(args.quiet, linked_fields_data)
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handle_output(args.quiet, linked_fields_data)
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if "matrix" in args.output:
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merged_data = api.merge_tables_on_reference(tables_data)
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handle_output(args.quiet, merged_data)
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if "tables" in args.output:
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if "tables" in args.output:
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handle_output(args.quiet, tables_data)
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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 = api.build_matrix(tables_data)
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handle_output(args.quiet, matrix_data)
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if args.database_id:
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if args.database_id:
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all_data = api.get_all_data_from_database(args.database_id)
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all_data = api.get_all_data_from_database(args.database_id)
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if not args.quiet:
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if not args.quiet:
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@ -42,11 +42,7 @@ def parse_arguments():
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def fetch_table_data(api, table_ids_str):
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def fetch_table_data(api, table_ids_str):
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table_ids = table_ids_str.split(',')
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table_ids = table_ids_str.split(',')
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tables_data = {}
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return api.get_tables(table_ids)
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for table_id in table_ids:
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table_data = api.get_all_rows_from_table(table_id.strip())
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tables_data[table_id] = table_data
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return tables_data
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if __name__ == "__main__":
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if __name__ == "__main__":
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main()
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main()
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