/monicaPython

Connects to the Monica API and provides an easy to use python wrapper.

Primary LanguagePythonMIT LicenseMIT

monica-python

This Repo is work in progress. Future plan is to integrate data from other social media and emails.

This is inspired from the this repo.

Contribution needed for:

  1. Other APIs to be converted to Python structure
  2. Social Media Integrations

Contacts API

  1. Initating the conversations API
from monica.contacts import Contacts
import pandas as pd

contacts = Contacts(access_token)
  1. Lists a few contacts from the database with criteria
limit=10 # default
page=1 # default
sort="updated_at" # default
json_data = contacts.list_contacts(self, limit=limit, page=page, sort=sort) # returns json data

pd.DataFrame(json_data['data'])
  1. List all contacts (Save it as csv file for other features)
sort = "updated_at" # default
json_data = conversations.list_all_your_contacts(sort=sort)

df = pd.DataFrame(json_data['data'])
df.to_csv('contacts_from_monicahq.csv')

Conversations API

  1. Initating the conversations API
from monica.conversations import Conversations
import pandas as pd

conversations = Conversations(access_token)
  1. Lists a few conversations from the database - Official API does not return all the conversations
conversations.list_conversations()
  1. Create conversation object
conversation_id = conversations.create_conversation_object(happened_at, contact_field_type_id, contact_id)
  1. Add message to a conversation object
conversations.add_message(written_at, written_by_me, content, contact_id, conversation_id)
  1. Lists all conversations of a contact
json_response = conversations.list_conversations_of_a_contact(contact_id) # returns the whole json response from API.


pd.DataFrame(json_response['data']) # to see it properly in a dataframe format
  1. Delete conversation
conversations.delete_conversation(conversation_id)
  1. Delete all conversations of a contact
conversations.delete_all_conversations_of_a_contact(contact_id)
  1. Add multiple messages to contact
conversations.add_multiple_messages(contact_id, conversation_id, df) 
# df is pandas dataframe in a specific structure expected, will add later

Contact Field Types API

  1. Initating the conversations API
from monica.contact_field_types import Contact_Field_Types
import pandas as pd

contact_field_types = Contact_Field_Types(access_token)
  1. Lists all field types on your monica
json_data = contact_field_types.list_all()
df = pd.DataFrame[json_data['data']]
df.head()
  1. Retreive ID of field type
field_type_id = contact_field_types.get_contact_field_type_id(object_name)

Gmail Monica Client API

Check out how to upload gmail data here

Linkedin Monica Client API

Check out how to upload linkedin data here