utils.py

import json
import re
from specklepy.transports.server import ServerTransport
from specklepy.api import operations
import time

def get_database_properties(database_pages):
    # Iterate through the results (each page corresponds to a row in the database)
    propList = []
    for page in database_pages:
         # Print the name and type of each property in this page
        for prop_name, prop_data in page['properties'].items():
            prop_type = prop_data['type']
            propList.append(prop_name)
        break
    return propList

# query full database
def fetch_all_database_pages(client, database_id):
    """
    Fetches all pages from a specified Notion database.

    :param client: Initialized Notion client.
    :param database_id: The ID of the Notion database to query.
    :return: A list containing all pages from the database.
    """
    start_cursor = None
    all_pages = []

    while True:
        response = client.databases.query(
            **{
                "database_id": database_id,
                "start_cursor": start_cursor
            }
        )

        all_pages.extend(response['results'])

        # Check if there's more data to fetch
        if response['has_more']:
            start_cursor = response['next_cursor']
        else:
            break

    return all_pages


def get_property_value(page, property_name):
    """
    Extracts the value from a specific property in a Notion page based on its type.
    :param page: The Notion page data as retrieved from the API.
    :param property_name: The name of the property whose value is to be fetched.
    :return: The value or values contained in the specified property, depending on type.
    """
    # Check if the property exists in the page
    if property_name not in page['properties']:
        return None  # or raise an error if you prefer

    property_data = page['properties'][property_name]
    prop_type = property_data['type']

    # Handle 'title' and 'rich_text' types
    if prop_type in ['title', 'rich_text']:
        return ''.join(text_block['text']['content'] for text_block in property_data[prop_type])

    # Handle 'number' type
    elif prop_type == 'number':
        return property_data[prop_type]

    # Handle 'select' type
    elif prop_type == 'select':
        return property_data[prop_type]['name'] if property_data[prop_type] else None

    # Handle 'multi_select' type
    elif prop_type == 'multi_select':
        return [option['name'] for option in property_data[prop_type]]

    # Handle 'date' type
    elif prop_type == 'date':
        if property_data[prop_type]['end']:
            return (property_data[prop_type]['start'], property_data[prop_type]['end'])
        else:
            return property_data[prop_type]['start']

    # Handle 'relation' type
    elif prop_type == 'relation':
        return [relation['id'] for relation in property_data[prop_type]]

    # Handle 'people' type
    elif prop_type == 'people':
        return [person['name'] for person in property_data[prop_type] if 'name' in person]

    # Add more handlers as needed for other property types

    else:
        # Return None or raise an error for unsupported property types
        return None


def parse_invalid_json(json_string):
    if json_string == None or json_string == "none":
      return None
    # Replace fancy quotes and single quotes with standard double quotes
    json_string = re.sub(r"[‘’“”]", '"', json_string)
    json_string = json_string.replace("'", '"')

    # Add quotes around any unquoted keys
    json_string = re.sub(r'(?<!")(\b\w+\b)(?!"):', r'"\1":', json_string)

    # Handle unquoted numeric values or booleans if necessary
    # This part can be customized based on specific requirements

    try:
        # Try parsing the corrected string
        return json.loads(json_string)
    except json.JSONDecodeError as e:
        # Handle parsing error (or re-raise the exception)
        print("JSON parsing error:", e)
        print(json_string)
        return None

def notionTable2JSON(databaseFUll_pages, kpi_database_pages):
  attributeMetaData = {}
  availableAttributes = {}
  cnt = 0
  for page in databaseFUll_pages:
    attributeData = {
        "name": get_property_value(page, "name"),
        "nameShort": get_property_value(page, "nameShort"),
        "nameLong": get_property_value(page, "nameLong"),
        "description": get_property_value(page, "description"),
        "indicator": get_property_value(page, "indicator"),
        "unit": get_property_value(page, "unit"),
        "unitShort": get_property_value(page, "unitShort"),
        "spatialUnit": get_property_value(page, "spatialUnit"),
        "method": get_property_value(page, "method"),
        "type": get_property_value(page, "type"),
        "colorMapping": parse_invalid_json(get_property_value(page, "colorMapping")),
        "parameter": parse_invalid_json(get_property_value(page, "parameter")),
        "level_1": get_property_value(page, "level_1"),
        "level_2": get_property_value(page, "level_2"),
        "level_3": get_property_value(page, "level_3"),

        "dataSet": "ActivityNodes",
        "dataSource": "",

        "KPI": [],
        "visualisation": []
      }
    curAttrName = get_property_value(page, "name")
    print(curAttrName)
    lev1 = get_property_value(page, "level_1")
    lev2 = get_property_value(page, "level_2")
    lev3= get_property_value(page, "level_3")

    if lev1 != None and lev1 != "NA":
        if lev1 not in availableAttributes:
            availableAttributes[lev1] = {"sub-levels": {}, "values": []}

        if lev2 != None and lev2 != "NA":
            if lev2 not in availableAttributes[lev1]["sub-levels"]:
                availableAttributes[lev1]["sub-levels"][lev2] = {"sub-levels": {}, "values": []}

            if lev3 != None and lev3 != "NA":
                if lev3 not in availableAttributes[lev1]["sub-levels"][lev2]["sub-levels"]:
                    availableAttributes[lev1]["sub-levels"][lev2]["sub-levels"][lev3] = {"values": []}
                availableAttributes[lev1]["sub-levels"][lev2]["sub-levels"][lev3]["values"].append(curAttrName)
            else:
                availableAttributes[lev1]["sub-levels"][lev2]["values"].append(curAttrName)
        else:
            availableAttributes[lev1]["values"].append(curAttrName)

    # iterated through list of KPI ref. Ids
    kpiIDs = get_property_value(page, "KPI")
    for kpiID in kpiIDs:

      curKPI = get_page_by_id(kpi_database_pages, kpiID)
      KPI_template ={
          "name":get_property_value(curKPI, "name"),
          "type":get_property_value(curKPI, "type"),
          "unit":get_property_value(curKPI, "unit"),
          "color":parse_invalid_json(get_property_value(curKPI, "color")),
          "nameShort": get_property_value(curKPI, "nameShort"),
          "quality":get_property_value(curKPI, "quality"),
          "args": parse_invalid_json(get_property_value(curKPI, "args")),
          "description":get_property_value(curKPI, "description"),
          "interpretrationHigh":get_property_value(curKPI, "interpretrationHigh"),
          "interpretationLow":get_property_value(curKPI, "interpretationLow"),
          }
      # add KPI data to attributeData
      attributeData["KPI"].append(KPI_template)

    # add to main dictioanry
    attributeMetaData[get_property_value(page, "name")] = attributeData

  print("processed pages:", cnt)
  return attributeMetaData, availableAttributes


def get_page_by_id(notion_db_pages, page_id):
  for pg in notion_db_pages:
    if pg["id"] == page_id:
      return pg

def getSpeckleStream(stream_id,
                     branch_name,
                     client,
                     commit_id=""
                     ):
    """
    Retrieves data from a specific branch of a speckle stream.

    Args:
        stream_id (str): The ID of the speckle stream.
        branch_name (str): The name of the branch within the speckle stream.
        client (specklepy.api.client.Client, optional): A speckle client. Defaults to a global `client`.
        commit_id (str): id of a commit, if nothing is specified, the latest commit will be fetched

    Returns:
        dict: The speckle stream data received from the specified branch.

    This function retrieves the last commit from a specific branch of a speckle stream.
    It uses the provided speckle client to get the branch and commit information, and then 
    retrieves the speckle stream data associated with the last commit.
    It prints out the branch details and the creation dates of the last three commits for debugging purposes.
    """

    print("updated A")

    # set stream and branch
    try:
        branch = client.branch.get(stream_id, branch_name, 3)
        print(branch)
    except:
        branch = client.branch.get(stream_id, branch_name, 1)
        print(branch)

    print("last three commits:")
    [print(ite.createdAt) for ite in branch.commits.items]

    if commit_id == "":
        latest_commit = branch.commits.items[0]
        choosen_commit_id = latest_commit.id
        commit = client.commit.get(stream_id, choosen_commit_id)
        print("latest commit ", branch.commits.items[0].createdAt, " was choosen")
    elif type(commit_id) == type("s"): # string, commit uuid
        choosen_commit_id = commit_id
        commit = client.commit.get(stream_id, choosen_commit_id)
        print("provided commit ", choosen_commit_id, " was choosen")
    elif type(commit_id) == type(1): #int 
        latest_commit = branch.commits.items[commit_id]
        choosen_commit_id = latest_commit.id
        commit = client.commit.get(stream_id, choosen_commit_id)


    print(commit)
    print(commit.referencedObject)
    # get transport
    transport = ServerTransport(client=client, stream_id=stream_id)
    #speckle stream
    res = operations.receive(commit.referencedObject, transport)

    return res