mirror of
https://github.com/kevinveenbirkenbach/baserow-ifto.git
synced 2024-11-01 01:23:10 +01:00
120 lines
4.9 KiB
Python
120 lines
4.9 KiB
Python
import requests
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import argparse
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import json
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def create_headers(api_key):
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"""Create headers for API requests."""
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return {
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"Authorization": f"Token {api_key}",
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"Content-Type": "application/json"
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}
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def handle_api_response(response, verbose):
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"""Handle API response, check for errors and decode JSON."""
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if verbose:
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print("[INFO] Handling API response...")
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print("Response Status Code:", response.status_code)
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print("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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print("Response content:", response.content.decode())
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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(base_url, api_key, table_id, verbose):
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if verbose:
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print(f"[INFO] Fetching all rows from table with ID: {table_id}...")
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headers = create_headers(api_key)
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rows = []
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next_url = f"{base_url}database/rows/table/{table_id}/"
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while next_url:
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response = requests.get(next_url, headers=headers)
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if verbose:
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print("Headers:", headers)
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print("Requesting:", next_url)
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data = handle_api_response(response, verbose)
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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 get_all_tables_from_database(base_url, api_key, database_id, verbose):
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if verbose:
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print(f"[INFO] Fetching all tables from database with ID: {database_id}...")
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headers = create_headers(api_key)
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response = requests.get(f"{base_url}database/tables/database/{database_id}/", headers=headers)
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if verbose:
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print("Headers:", headers)
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return handle_api_response(response, verbose) or []
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def get_all_data_from_database(base_url, api_key, database_id, verbose):
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if verbose:
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print(f"[INFO] Fetching all data from database with ID: {database_id}...")
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tables = get_all_tables_from_database(base_url, api_key, database_id, verbose)
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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] = get_all_rows_from_table(base_url, api_key, table_id, verbose)
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return data
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def merge_tables_on_reference(tables_data):
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"""
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Merge tables based on references.
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Assumes that a reference from one table to another is represented by a field in the dictionary
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that has the same name as the referenced table and contains the ID of the referenced row.
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"""
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# Create a mapping of table names to their rows indexed by ID
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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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# Embed referenced data into tables
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for table_name, rows in tables_data.items():
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for row in rows:
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for field_name, value in row.items():
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# Check if the field name matches another table name (i.e., it's a reference)
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if field_name in indexed_data and value in indexed_data[field_name]:
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# Embed the referenced row data under the reference field
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row[field_name] = indexed_data[field_name][value]
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return tables_data
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Fetch all data from a Baserow database.")
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parser.add_argument("base_url", help="Base URL of your Baserow instance, e.g., https://YOUR_BASEROW_INSTANCE_URL/api/")
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parser.add_argument("api_key", help="Your Baserow API key.")
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parser.add_argument("--database_id", help="ID of the Baserow database you want to fetch data from.", default=None)
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parser.add_argument("--table_ids", help="IDs of the Baserow tables you want to fetch data from, separated by commas.", default=None)
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parser.add_argument("--matrix", action="store_true", help="Merge tables based on references.")
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parser.add_argument("-v", "--verbose", action="store_true", help="Enable verbose mode for debugging.")
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args = parser.parse_args()
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if not args.database_id and not args.table_ids:
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print("Error: Either database_id or table_ids must be provided.")
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exit(1)
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if args.table_ids:
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table_ids = args.table_ids.split(',')
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tables_data = {}
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for table_id in table_ids:
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table_data = get_all_rows_from_table(args.base_url, args.api_key, table_id.strip(), args.verbose)
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tables_data[table_id] = table_data
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if args.matrix:
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merged_data = merge_tables_on_reference(tables_data)
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print(json.dumps(merged_data, indent=4))
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else:
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print(json.dumps(tables_data, indent=4))
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else:
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all_data = get_all_data_from_database(args.base_url, args.api_key, args.database_id, args.verbose)
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print(json.dumps(all_data, indent=4)) |