Decomplexification of services
This commit is contained in:
parent
21960dc8a0
commit
fbfcf3e643
@ -1,8 +1,9 @@
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import requests
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from pxy_openai.assistants import OpenAIAssistant as OpenAIService # Import the assistant service
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import logging
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from .models import FacebookPageAssistant
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from django.core.exceptions import ObjectDoesNotExist
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from .models import FacebookPageAssistant
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from pxy_openai.assistants import OpenAIAssistant as OpenAIService
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from pxy_neo4j.neo4j_connector import Neo4jDatabase
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logger = logging.getLogger(__name__)
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@ -10,251 +11,186 @@ logger = logging.getLogger(__name__)
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class FacebookService:
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"""
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A service to interact with the Facebook Graph API.
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A service to interact with the Facebook Graph API,
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generate AI responses, and log interactions.
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"""
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def __init__(self, user_access_token, facebook_api_version="v22.0"):
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self.user_access_token = user_access_token
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self.facebook_api_version = facebook_api_version
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self.base_url = f"https://graph.facebook.com/{self.facebook_api_version}"
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self.neo4j_db = Neo4jDatabase() # Initialize Neo4j connection
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self.base_url = f"https://graph.facebook.com/{facebook_api_version}"
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self.neo4j_db = Neo4jDatabase()
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def get_system_user_id(self):
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# ─── Public API ─────────────────────────────────────────────────────────────
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def post_comment_on_share(self, page_id, post_id, incoming_msg="", sender_id=None):
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"""
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Retrieves the system user ID using the user access token.
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Orchestrates commenting on a shared post, then on the original.
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"""
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token = self._get_page_token(page_id)
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if not token:
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return None
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details = self._fetch_post_details(post_id, token)
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if not details:
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return None
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assistant_name = self._get_assistant_name(page_id)
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if not assistant_name:
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return None
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# build and send comment on the shared post
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prompt = self._build_share_prompt(incoming_msg, details["description"])
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bot_resp = self._generate_ai_reply(assistant_name, prompt)
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# mention the original page if provided
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mention_target = details.get("parent_from_id") or details.get("from_id")
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shared_msg = self._prepend_mention(bot_resp, mention_target)
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shared_resp = self._post_comment(post_id, shared_msg, token)
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if shared_resp:
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self._log_interaction(page_id, details["description"] or "Shared post", bot_resp)
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# now comment on the original post
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parent = details.get("parent_id")
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if parent and shared_resp:
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original_msg = self._prepend_mention(bot_resp, mention_target)
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orig_resp = self._post_comment(parent, original_msg, token)
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if orig_resp:
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self._log_interaction(page_id, details["description"] or "Original post", bot_resp, suffix=" (Original)")
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return shared_resp
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def reply_to_comment(self, page_id, comment_id, incoming_msg=""):
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"""
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Replies to a specific comment.
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"""
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token = self._get_page_token(page_id)
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if not token:
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return None
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assistant_name = self._get_assistant_name(page_id)
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if not assistant_name:
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return None
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msg = incoming_msg.strip() or "Thank you for your comment! What do you think about it?"
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bot_resp = self._generate_ai_reply(assistant_name, msg)
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resp = self._post_comment(comment_id, bot_resp, token)
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if resp:
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self._log_interaction(page_id, msg, bot_resp, user_prefix="fb_user")
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return resp
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# ─── Helpers: token & assistant ─────────────────────────────────────────────
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def _get_page_token(self, page_id):
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url = f"{self.base_url}/me/accounts?access_token={self.user_access_token}"
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try:
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return '122106889202727657'
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except requests.exceptions.RequestException as e:
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logger.error(f"Error fetching system user ID: {e}")
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resp = requests.get(url)
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resp.raise_for_status()
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for p in resp.json().get("data", []):
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if p.get("id") == str(page_id):
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return p.get("access_token")
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logger.error(f"Page {page_id} not found in your accounts")
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except Exception as e:
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logger.error(f"Error fetching Page token: {e}")
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return None
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def get_page_access_token(self, page_id):
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"""
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Retrieves the Page Access Token for a specific Page ID.
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"""
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url = f"{self.base_url}/122106889202727657/accounts?access_token={self.user_access_token}"
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def _get_assistant_name(self, page_id):
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try:
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response = requests.get(url)
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response.raise_for_status()
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data = response.json()
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if "data" in data:
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for page in data["data"]:
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if page.get("id") == str(page_id):
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page_name = page.get("name", "Unknown")
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access_token = page.get("access_token", "No Token")
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logger.info(f"Retrieved access token for page {page_id}: {page_name}")
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return access_token
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logger.error(f"Error: Page ID {page_id} not found.")
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else:
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logger.error("Error: Unexpected response format from Facebook API.")
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except requests.exceptions.RequestException as e:
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logger.error(f"Error fetching Page Access Token: {e}")
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return None
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def post_comment_on_share(self, page_id, post_id, message, sender_id=None):
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"""
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Posts a comment on a shared post using the Facebook API.
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Fetches post details (description, parent_id) to improve the comment.
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If parent_id exists, posts the same comment on the original post.
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"""
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# Retrieve the Page Access Token dynamically
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page_access_token = self.get_page_access_token(page_id)
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if not page_access_token:
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logger.error(f"Unable to retrieve access token for page ID: {page_id}")
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return None
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# Fetch post details (description, parent_id)
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post_details = self.get_post_details(post_id, page_access_token)
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if not post_details:
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logger.error(f"Failed to retrieve post details for post ID: {post_id}")
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return None
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description = post_details.get("description", "")
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parent_id = post_details.get("parent_id", None)
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author_page_id = post_details.get("parent_from_id", None)
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# Fetch the appropriate OpenAI assistant for the page
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try:
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page_assistant = FacebookPageAssistant.objects.get(page_id=page_id)
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openai_assistant_model = page_assistant.assistant
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logger.info(f"Using assistant '{openai_assistant_model.name}' for page '{page_assistant.page_name}'")
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return FacebookPageAssistant.objects.get(page_id=page_id).assistant.name
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except ObjectDoesNotExist:
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logger.error(f"No assistant configured for page ID: {page_id}")
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logger.error(f"No OpenAI assistant configured for page {page_id}")
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return None
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# Generate a meaningful comment based on available data
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if not message or message.strip() == "":
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if description:
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prompt = (
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f"Dr. Dr. Ekaropolus previously said: '{description}'. "
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"Based on this, write an insightful response in the most appropriate language that engages people in scientific discussion."
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)
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else:
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prompt = "Say something truly inspiring about science, a fact or idea that will amaze people."
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# ─── Helpers: fetching post details ────────────────────────────────────────
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else:
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if description:
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prompt = (
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f"Dr. Dr. Ekaropolus previously said: '{message}', "
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f"and the shared post describes: '{description}'. "
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"Combine these thoughts into an engaging, fun, and insightful response in the most appropriate language."
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)
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else:
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prompt = f"Dr. Dr. Ekaropolus said: '{message}'. Expand on this with an insightful scientific thought."
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openai_service = OpenAIService(name=openai_assistant_model.name)
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bot_response = openai_service.handle_message(prompt)
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sender_id = author_page_id
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# Post a comment on the shared post
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shared_comment_response = self._post_facebook_comment(post_id, bot_response, page_access_token, sender_id)
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# If the comment on the shared post was successful, store in Neo4j
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if shared_comment_response:
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self.neo4j_db.store_interaction(
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user_id=f"fb_bot_{page_id}",
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bot_id=f"fb_bot_{page_id}",
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user_message=description if description else "Shared post comment",
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bot_response=bot_response,
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platform="Facebook"
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)
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# If parent_id exists and the first comment was successful, post the same comment on the original post
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if parent_id and shared_comment_response:
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logger.info(f"Also commenting on the original post: {parent_id}")
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original_comment_response = self._post_facebook_comment(parent_id, bot_response, page_access_token)
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# If the comment on the original post was successful, store in Neo4j
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if original_comment_response:
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self.neo4j_db.store_interaction(
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user_id=f"fb_bot_{page_id}",
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bot_id=f"fb_bot_{page_id}",
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user_message=description if description else "Original post comment",
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bot_response=bot_response,
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platform="Facebook (Original Post)"
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)
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return shared_comment_response
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def get_post_details(self, post_id, access_token):
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def _fetch_post_details(self, post_id, token):
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"""
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Retrieves details of a post, including:
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- description (from attachments)
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- parent_id (if it’s a share)
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- from_id (author of THIS post)
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- parent_from_id (author of the ORIGINAL post, if shared)
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Returns dict with keys:
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- description
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- parent_id
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- from_id
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- parent_from_id
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"""
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# 1st call: get this post’s description, parent_id, and its own from()
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url = (
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f"{self.base_url}/{post_id}"
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"?fields=attachments.limit(10){description,media,media_type,target,url},"
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"parent_id,from"
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f"&access_token={access_token}"
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)
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try:
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response = requests.get(url)
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response.raise_for_status()
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data = response.json()
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# first: get this post
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fields = "attachments.limit(1){description},parent_id,from"
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url1 = f"{self.base_url}/{post_id}?fields={fields}&access_token={token}"
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d1 = requests.get(url1).json()
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attachments = data.get("attachments", {}).get("data", [{}])
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description = attachments[0].get("description", "") if attachments else ""
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parent_id = data.get("parent_id")
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from_id = data.get("from", {}).get("id")
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desc = d1.get("attachments", {}).get("data", [{}])[0].get("description", "")
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parent = d1.get("parent_id")
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from_id = d1.get("from", {}).get("id")
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# default if there is no parent
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parent_from_id = None
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# If this is a share, fetch the ORIGINAL post’s author
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if parent_id:
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parent_url = (
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f"{self.base_url}/{parent_id}"
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"?fields=from"
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f"&access_token={access_token}"
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)
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p_resp = requests.get(parent_url)
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p_resp.raise_for_status()
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p_data = p_resp.json()
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parent_from_id = p_data.get("from", {}).get("id")
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# then: if shared, get parent author
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parent_from = None
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if parent:
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url2 = f"{self.base_url}/{parent}?fields=from&access_token={token}"
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pd = requests.get(url2).json()
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parent_from = pd.get("from", {}).get("id")
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return {
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"description": description,
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"parent_id": parent_id,
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"description": desc,
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"parent_id": parent,
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"from_id": from_id,
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"parent_from_id": parent_from_id
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"parent_from_id": parent_from,
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}
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except requests.exceptions.RequestException as e:
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logger.error(f"Failed to fetch post details for {post_id}. Error: {e}")
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except Exception as e:
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logger.error(f"Error fetching post details ({post_id}): {e}")
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return {}
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# ─── Helpers: AI generation ────────────────────────────────────────────────
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def _build_share_prompt(self, incoming, description):
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if not incoming.strip():
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return (f"Dr. Dr. Ekaropolus said: '{description}'. "
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"Write an insightful scientific comment.") if description \
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else "Share an inspiring science fact."
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if description:
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return (f"Dr. Dr. Ekaropolus said: '{incoming}', and the post describes: "
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f"'{description}'. Combine these thoughts into an engaging reply.")
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return f"Expand on: '{incoming}' with an insightful scientific thought."
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def _post_facebook_comment(self, post_id, message, access_token, sender_id=None):
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"""
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Helper function to post a comment to a specific post.
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"""
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# Prepend mention if sender_id provided
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if sender_id:
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mention_at = f" @[{sender_id}:0] "
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mention = f"https://www.facebook.com/{sender_id} "
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message = f"{mention}{message}"
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url = f"{self.base_url}/{post_id}/comments"
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payload = {"message": message, "access_token": access_token}
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def _generate_ai_reply(self, assistant_name, prompt):
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try:
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response = requests.post(url, data=payload)
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response.raise_for_status()
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logger.info(f"Posted a comment on post ID: {post_id}")
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return response.json()
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except requests.exceptions.RequestException as e:
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logger.error(f"Failed to comment on post ID: {post_id}. Error: {e}")
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svc = OpenAIService(name=assistant_name)
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return svc.handle_message(prompt)
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except Exception as e:
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logger.error(f"OpenAI error: {e}")
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return ""
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# ─── Helpers: posting & logging ────────────────────────────────────────────
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def _prepend_mention(self, message, sender_id):
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if not sender_id:
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return message
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# for fun we keep both link + plain text mention
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link = f"https://www.facebook.com/{sender_id}"
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tag = f"@[{sender_id}:0]"
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return f"{link} {tag} {message}"
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def _post_comment(self, object_id, message, token):
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try:
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url = f"{self.base_url}/{object_id}/comments"
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resp = requests.post(url, data={"message": message, "access_token": token})
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resp.raise_for_status()
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logger.info(f"Comment posted on {object_id}")
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return resp.json()
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except Exception as e:
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logger.error(f"Failed posting comment on {object_id}: {e}")
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return None
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def reply_to_comment(self, page_id, comment_id, message):
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def _log_interaction(self, page_id, user_msg, bot_msg, suffix=""):
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"""
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Replies to a specific comment using the Facebook API and OpenAI Assistant.
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Logs with user_id=fb_bot_{page_id} (or fb_user_), bot_id=fb_bot_{page_id}.
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"""
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# Retrieve the Page Access Token dynamically
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page_access_token = self.get_page_access_token(page_id)
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if not page_access_token:
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logger.error(f"Unable to retrieve access token for page ID: {page_id}")
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return None
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# Fetch the appropriate OpenAI assistant for the page
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try:
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page_assistant = FacebookPageAssistant.objects.get(page_id=page_id)
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openai_assistant_model = page_assistant.assistant
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logger.info(f"Using assistant '{openai_assistant_model.name}' for page '{page_assistant.page_name}'")
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except ObjectDoesNotExist:
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logger.error(f"No assistant configured for page ID: {page_id}")
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return None
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# Use a default message if the received message is empty
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if not message or message.strip() == "":
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message = "Thank you for sharing this comment! What do you think about it?"
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openai_service = OpenAIService(name=openai_assistant_model.name) # Pass the model's name to the service
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bot_response = openai_service.handle_message(message)
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# Send the response to Facebook
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url = f"{self.base_url}/{comment_id}/comments"
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payload = {"message": bot_response, "access_token": page_access_token}
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try:
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response = requests.post(url, data=payload)
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response.raise_for_status()
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logger.info(f"Replied to comment ID: {comment_id}")
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# Store the interaction in Neo4j
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self.neo4j_db.store_interaction(
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user_id=f"fb_user_{comment_id}",
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bot_id=f"fb_bot_{page_id}",
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user_message=message,
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bot_response=bot_response,
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platform="Facebook"
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user_id = f"fb_bot_{page_id}",
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bot_id = f"fb_bot_{page_id}",
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user_message = user_msg,
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bot_response = bot_msg,
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platform = f"Facebook{suffix}"
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)
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return response.json()
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except requests.exceptions.RequestException as e:
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logger.error(f"Failed to reply to comment ID: {comment_id}. Error: {e}")
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return None
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except Exception as e:
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logger.error(f"Neo4j log error: {e}")
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