kevinveenbirkenbach/baserow-ifto
1
0
Fork 0
mirror of https://github.com/kevinveenbirkenbach/baserow-ifto.git synced 2024-11-01 01:23:10 +01:00
Code Issues Packages Projects Releases Wiki Activity

Refactored code

Browse Source
This commit is contained in:
Kevin Veen-Birkenbach 2023-09-05 02:31:01 +02:00
parent 2d3905b354
commit 0c0a96213f
1 changed files with 68 additions and 75 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

143
matrix_builder.py
View File

@ -1,84 +1,77 @@
from data_processor import DataProcessor from data_processor import DataProcessor
class MatrixBuilder: class MatrixBuilder:
def __init__(self, data_processor, verbose=False): def __init__(self, data_processor, verbose=False):
self.data_processor = data_processor self.data_processor = data_processor
self.verbose = verbose self.verbose = verbose
def build_multitable_matrix(self, tables_data):
matrix = {}
for table_name, table_rows in 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())
return matrix
def _build_matrix_for_table(self, tables_data, 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)
return matrix[table_name]
def _populate_matrix_with_related_content(self, tables_data, 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)
def _handle_linked_content(self, tables_data, 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"]
if not link_field_id:
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)
table_row[column_name] = new_content
def _fetch_related_content(self, tables_data, 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)
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):
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._update_reference_map(link_field, reference_map)
def _load_table_data_if_missing(self, link_field, tables_data):
link_table_id = link_field["link_row_table_id"]
if link_table_id not in 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)
def _update_reference_map(self, link_field, reference_map):
field_name = f"field_{link_field['id']}"
if field_name not in reference_map:
self.print_verbose_message(f"Updating reference map for field: {field_name}")
reference_map[field_name] = link_field
reference_map[field_name]["embeded"] = []
def print_verbose_message(self, message): def print_verbose_message(self, message):
if self.verbose: if self.verbose:
print(message) print(message)
def build_multitable_matrix(self, tables_data):
original_keys = list(tables_data.keys())
matrix = {}
for table_name, table_rows in tables_data.items():
matrix[table_name] = self.build_matrix(tables_data, table_name, table_rows.copy())
return matrix
def build_matrix(self, tables_data, table_name, table_rows, reference_map={}):
"""Build a matrix with linked rows filled recursively."""
matrix = {table_name: table_rows}
reference_map_child = reference_map.copy()
self.process_link_fields(table_name, tables_data, reference_map_child)
self.fill_cells_with_related_content(tables_data, matrix, table_name, table_rows, reference_map_child)
return matrix[table_name]
def fill_cells_with_related_content(self, tables_data, matrix, table_name, table_rows, reference_map_child):
self.print_verbose_message(f"table_name: {table_name}")
for table_row in table_rows:
self.print_verbose_message(f"table_row: {table_row}")
for table_column_name, table_cell_content in table_row.items():
self.print_verbose_message(f"table_cell_content {table_cell_content}")
if table_column_name in reference_map_child:
link_row_table_id = reference_map_child[table_column_name]["link_row_table_id"]
self.print_verbose_message(f"link_row_table_id: {link_row_table_id}")
link_row_related_field_id = reference_map_child[table_column_name]["link_row_related_field_id"]
self.print_verbose_message(f"link_row_related_field_id: {link_row_related_field_id}")
if not link_row_related_field_id:
raise Exception("link_row_related_field_id has to be a positive number")
new_content = []
for entry in table_cell_content:
self.print_verbose_message(f"entry: {entry}")
related_cell_identifier = self.generate_related_cell_identifier(link_row_table_id, link_row_related_field_id, entry["id"])
self.print_verbose_message(f"related_cell_identifier: {related_cell_identifier}")
if related_cell_identifier not in reference_map_child[table_column_name].get("embeded", []):
reference_map_child[table_column_name].setdefault("embeded", []).append(related_cell_identifier)
matrix[link_row_table_id] = self.build_matrix(tables_data, link_row_table_id, tables_data[link_row_table_id].copy(), reference_map_child)
new_content.append(entry) # Append the original content or modify as needed
table_row[table_column_name] = new_content
def generate_related_cell_identifier(self, table_id, table_column_id, table_row_id):
return self.generate_cell_identifier(table_id, "field_" + str(table_column_id), table_row_id);
def generate_cell_identifier(self, table_name, table_column_name, table_row_id):
table_name=str(table_name)
table_column_name=str(table_column_name)
table_row_id=str(table_row_id)
return "table_" + table_name + "_" + table_column_name + "_row_" + table_row_id
def process_link_fields(self, table_name, tables_data, reference_map_child):
"""Process link fields for a given table."""
link_fields = self.data_processor.get_link_fields_for_table(table_name)
for link_field in link_fields:
self.load_table_data_if_not_present(link_field, tables_data)
self.update_reference_map(link_field, reference_map_child)
def load_table_data_if_not_present(self, link_field, tables_data):
"""Load table data if it's not already loaded."""
link_row_table_id = link_field["link_row_table_id"]
if link_row_table_id not in tables_data:
tables_data[link_row_table_id] = self.data_processor.get_all_rows_from_table(link_row_table_id)
def update_reference_map(self, link_field, reference_map_child):
"""Update the reference map with the link field data."""
link_field_name = "field_" + str(link_field["id"])
if link_field_name not in reference_map_child:
reference_map_child[link_field_name] = link_field
reference_map_child[link_field_name]["embeded"] = []