forked from Mapan/odoo17e
209 lines
8.8 KiB
Python
209 lines
8.8 KiB
Python
# -*- coding: utf-8 -*-
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# Part of Odoo. See LICENSE file for full copyright and licensing details.
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import contextlib
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import logging
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import requests
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from urllib.parse import quote, urlparse
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from werkzeug.urls import url_join
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import re
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from odoo import models, fields, tools, _
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from odoo.addons.mail.tools import link_preview
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from odoo.exceptions import UserError
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_logger = logging.getLogger(__name__)
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class SocialLivePostLinkedin(models.Model):
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_inherit = 'social.live.post'
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linkedin_post_id = fields.Char('Actual LinkedIn ID of the post')
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def _compute_live_post_link(self):
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linkedin_live_posts = self._filter_by_media_types(['linkedin']).filtered(lambda post: post.state == 'posted')
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super(SocialLivePostLinkedin, (self - linkedin_live_posts))._compute_live_post_link()
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for post in linkedin_live_posts:
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post.live_post_link = 'https://www.linkedin.com/feed/update/%s' % post.linkedin_post_id
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def _refresh_statistics(self):
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super(SocialLivePostLinkedin, self)._refresh_statistics()
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accounts = self.env['social.account'].search([('media_type', '=', 'linkedin')])
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for account in accounts:
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linkedin_post_ids = self.env['social.live.post'].sudo().search(
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[('account_id', '=', account.id), ('linkedin_post_id', '!=', False)],
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order='create_date DESC', limit=1000
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)
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if not linkedin_post_ids:
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continue
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linkedin_post_ids = {post.linkedin_post_id: post for post in linkedin_post_ids}
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session = requests.Session()
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# The LinkedIn API limit the query parameters to 4KB
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# An LinkedIn URN is approximatively 40 characters
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# So we keep a big margin and we split over 50 LinkedIn posts
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for batch_linkedin_post_ids in tools.split_every(50, linkedin_post_ids):
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endpoint = url_join(
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self.env['social.media']._LINKEDIN_ENDPOINT,
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'socialMetadata?ids=List(%s)' % ','.join(map(quote, batch_linkedin_post_ids)))
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response = session.get(endpoint, headers=account._linkedin_bearer_headers(), timeout=10)
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if not response.ok or 'results' not in response.json():
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account._action_disconnect_accounts(response.json())
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_logger.error('Error when fetching LinkedIn stats: %r.', response.text)
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break
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for urn, stats in response.json()['results'].items():
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if not urn or not stats or urn not in batch_linkedin_post_ids:
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continue
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like_count = sum(like.get('count', 0) for like in stats.get('reactionSummaries', {}).values())
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comment_count = stats.get('commentSummary', {}).get('count', 0)
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linkedin_post_ids[urn].update({'engagement': like_count + comment_count})
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def _post(self):
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linkedin_live_posts = self._filter_by_media_types(['linkedin'])
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super(SocialLivePostLinkedin, (self - linkedin_live_posts))._post()
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linkedin_live_posts._post_linkedin()
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def _post_linkedin(self):
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for live_post in self:
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url_in_message = self.env['social.post']._extract_url_from_message(live_post.message)
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data = {
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"author": live_post.account_id.linkedin_account_urn,
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"commentary": self._format_to_linkedin_little_text(live_post.message),
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"distribution": {"feedDistribution": "MAIN_FEED"},
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"lifecycleState": "PUBLISHED",
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"visibility": "PUBLIC",
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}
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if live_post.post_id.image_ids:
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try:
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images_urn = [
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self._linkedin_upload_image(live_post.account_id, image_id)
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for image_id in live_post.post_id.image_ids
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]
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except UserError as e:
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live_post.write({
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'state': 'failed',
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'failure_reason': str(e)
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})
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continue
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if len(images_urn) == 1:
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data["content"] = {"media": {"id": images_urn[0]}}
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else:
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data["content"] = {
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"multiImage": {
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"images": [{"id": image_urn} for image_urn in images_urn],
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}
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}
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elif url_in_message:
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tracker_code = urlparse(url_in_message).path.split('/r/')[-1]
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link_tracker = self.env['link.tracker'].search([
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('link_code_ids.code', '=', tracker_code),
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('source_id', '=', live_post.post_id.source_id.id),
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], limit=1)
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original_url = link_tracker.url or url_in_message
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data['content'] = {
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'article': {
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'source': url_in_message,
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'title': link_tracker.title or original_url,
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},
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}
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preview = link_preview.get_link_preview_from_url(original_url) or {}
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if image_url := preview.get('og_image'):
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with contextlib.suppress(Exception):
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if (image_response := requests.get(image_url, timeout=3)).ok:
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image_urn = self._linkedin_upload_image(live_post.account_id, image_response.content)
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data['content']['article']['thumbnail'] = image_urn
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response = requests.post(
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url_join(self.env['social.media']._LINKEDIN_ENDPOINT, 'posts'),
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headers=live_post.account_id._linkedin_bearer_headers(),
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json=data, timeout=10)
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post_id = response.headers.get('x-restli-id')
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if response.ok and post_id:
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values = {
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'state': 'posted',
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'failure_reason': False,
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'linkedin_post_id': post_id,
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}
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else:
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try:
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response_json = response.json()
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except Exception:
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response_json = {}
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values = {
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'state': 'failed',
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'failure_reason': response_json.get('message', _('unknown')),
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}
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if response_json.get('serviceErrorCode') == 65600:
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# Invalid access token
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self.account_id._action_disconnect_accounts(response)
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live_post.write(values)
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def _linkedin_upload_image(self, account_id, image_id):
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"""Upload an image on LinkedIn.
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:param account_id: The social.account to use to upload the image
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:param image_id: The attachment or the raw bytes of the image
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"""
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# 1 - Register your image to be uploaded
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data = {
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"initializeUploadRequest": {
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"owner": account_id.linkedin_account_urn,
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},
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}
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response = requests.post(
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url_join(self.env['social.media']._LINKEDIN_ENDPOINT, 'images?action=initializeUpload'),
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headers=account_id._linkedin_bearer_headers(),
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json=data, timeout=10)
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if not response.ok:
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_logger.error('Could not upload the image: %r.', response.text)
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response = response.json()
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if 'value' not in response or 'uploadUrl' not in response['value']:
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raise UserError(_("We could not upload your image, try reducing its size and posting it again (error: Failed during upload registering)."))
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# 2 - Upload image binary file
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upload_url = response['value']['uploadUrl']
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image_urn = response['value']['image']
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if isinstance(image_id, bytes):
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data = image_id
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else:
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# TODO: clean in master (always give the raw bytes)
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data = image_id.with_context(bin_size=False).raw
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headers = account_id._linkedin_bearer_headers()
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headers['Content-Type'] = 'application/octet-stream'
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response = requests.request('POST', upload_url, data=data, headers=headers, timeout=15)
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if not response.ok:
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raise UserError(_("We could not upload your image, try reducing its size and posting it again."))
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return image_urn
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def _format_to_linkedin_little_text(self, input_string):
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"""
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Replaces the special characters `(){}<>[]_` with escaped versions of themselves, i.e. `\\(\\)\\{\\}\\<\\>\\[\\]`.
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https://learn.microsoft.com/en-us/linkedin/marketing/integrations/community-management/shares/little-text-format?view=li-lms-2023-03#text
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"""
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pattern = r"[\(\)\<\>\{\}\[\]\_\|\*\~\#\@]"
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output_string = re.sub(pattern, lambda match: r"\{}".format(match.group(0)), input_string)
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return output_string
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