2023-05-20 16:36:05 -07:00

90 lines
2.6 KiB
Python

"""monday.com reader."""
from typing import Dict, List
from llama_index.readers.base import BaseReader
from llama_index.readers.schema.base import Document
import json
import requests
class MondayReader(BaseReader):
"""monday.com reader. Reads board's data by a GraphQL query.
Args:
api_key (str): monday.com API key.
"""
def __init__(self, api_key: str) -> None:
"""Initialize monday.com reader."""
self.api_key = api_key
self.api_url = "https://api.monday.com/v2"
def _parse_item_values(self, cv) -> Dict[str, str]:
data = {}
data["title"]= cv["title"]
data["value"]= cv["text"]
return data
def _parse_data(self, item) -> Dict[str, str]:
data = {}
data["id"] = item["id"]
data["name"] = item["name"]
data["values"] = list(map(self._parse_item_values, list(item["column_values"])))
return data
def _perform_request(self,board_id) -> Dict[str, str]:
headers = {"Authorization" : self.api_key}
query = """
query{
boards(ids: [%d]){
name,
items{
id,
name,
column_values{
title,
text
}
}
}
} """ % (board_id)
data = {'query' : query}
response = requests.post(url=self.api_url, json=data, headers=headers)
return response.json()
def load_data(self, board_id: int) -> List[Document]:
"""Load board data by board_id
Args:
board_id (int): monday.com board id.
Returns:
List[Document]: List of items as documents.
[{id, name, values: [{title, value}]}]
"""
json_response = self._perform_request(board_id)
board_data = json_response['data']['boards'][0]
board_name = board_data["name"]
items_array = list(board_data["items"])
parsed_items = list(map(self._parse_data, list(items_array)))
result = []
for item in parsed_items:
text = f"name: {item['name']}"
for item_value in item["values"]:
if item_value['value']:
text += f", {item_value['title']}: {item_value['value']}"
result.append(Document(text, extra_info={"board_id": board_id, "item_id": item["id"]}))
return result
if __name__ == "__main__":
reader = MondayReader('api_key')
print(
reader.load_data(12345)
)