Bases: BaseReader
monday.com reader. Reads board's data by a GraphQL query.
Parameters:
| Name |
Type |
Description |
Default |
api_key
|
str
|
|
required
|
Source code in llama-index-integrations/readers/llama-index-readers-mondaydotcom/llama_index/readers/mondaydotcom/base.py
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88 | 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_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=text, extra_info={"board_id": board_id, "item_id": item["id"]}
)
)
return result
|
load_data
load_data(board_id: int) -> List[Document]
Load board data by board_id.
Parameters:
| Name |
Type |
Description |
Default |
board_id
|
int
|
|
required
|
Returns:
| Type |
Description |
List[Document]
|
List[Document]: List of items as documents.
|
List[Document]
|
[{id, name, values: [{title, value}]}]
|
Source code in llama-index-integrations/readers/llama-index-readers-mondaydotcom/llama_index/readers/mondaydotcom/base.py
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88 | 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_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=text, extra_info={"board_id": board_id, "item_id": item["id"]}
)
)
return result
|
