mirror of
https://github.com/kevinveenbirkenbach/baserow-ifto.git
synced 2024-11-01 09:33:11 +01:00
140 lines
6.0 KiB
Python
140 lines
6.0 KiB
Python
import requests
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import json
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class BaserowAPI:
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def __init__(self, base_url, api_key, verbose=False):
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self.base_url = base_url
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self.api_key = api_key
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self.verbose = verbose
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self.headers = self.create_headers()
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self.print_verbose_message(f"Headers:{self.headers}")
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def create_headers(self):
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"""Create headers for API requests."""
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return {
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"Authorization": f"Token {self.api_key}",
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"Content-Type": "application/json"
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}
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def print_verbose_message(self, message):
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if self.verbose:
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print(message)
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def handle_api_response(self, response):
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"""Handle API response, check for errors and decode JSON."""
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self.print_verbose_message("[INFO] Handling API response...")
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self.print_verbose_message(f"Response Status Code: {response.status_code}")
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self.print_verbose_message(f"Response Headers: {response.headers}")
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if response.status_code != 200:
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print(f"Error: Received status code {response.status_code} from Baserow API.")
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response_content=response.content.decode()
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print("Response content: {response_content}")
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return None
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try:
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return response.json()
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except requests.RequestsJSONDecodeError:
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print("Error: Failed to decode the response as JSON.")
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return None
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def get_all_rows_from_table(self, table_id):
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if self.verbose:
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print(f"[INFO] Fetching all rows from table with ID: {table_id}...")
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rows = []
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next_url = f"database/rows/table/{table_id}/"
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while next_url:
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response=self.request_response(next_url)
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self.print_verbose_message(f"Requesting: {next_url}")
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data = self.handle_api_response(response)
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if not data:
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break
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rows.extend(data['results'])
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next_url = data['next']
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return rows
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def request_response(self,command):
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return requests.get(f"{self.base_url}{command}", headers=self.headers)
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def get_all_tables_from_database(self, database_id):
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self.print_verbose_message("[INFO] Fetching all tables from database with ID: {database_id}...")
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response = self.request_response(f"database/tables/database/{database_id}/")
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return self.handle_api_response(response) or []
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def get_all_data_from_database(self, database_id):
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self.print_verbose_message("[INFO] Fetching all data from database with ID: {database_id}...")
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tables = self.get_all_tables_from_database(database_id)
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data = {}
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for table in tables:
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table_id = table['id']
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table_name = table['name']
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data[table_name] = self.get_all_rows_from_table(table_id)
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return data
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def fetch_fields_for_table(self, table_id):
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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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if response.status_code == 200:
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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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def get_link_fields_for_all_tables(self, tables_data):
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link_fields = {}
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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[table_name] = link_fields_for_table
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return link_fields
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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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return [field for field in fields if field['type'] == 'link_row']
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def get_tables(self,table_ids):
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tables_data = {}
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for table_id in table_ids:
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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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