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from flask import current_app
import requests
from requests_oauthlib import OAuth2Session
from urllib.parse import urlencode
import tempfile
import os
import logging
class LinkedInService:
"""Service for LinkedIn API integration."""
def __init__(self):
self.client_id = current_app.config['CLIENT_ID']
self.client_secret = current_app.config['CLIENT_SECRET']
self.redirect_uri = current_app.config['REDIRECT_URL']
self.scope = ['openid', 'profile', 'email', 'w_member_social']
def get_authorization_url(self, state: str) -> str:
"""
Get LinkedIn authorization URL.
Args:
state (str): State parameter for security
Returns:
str: Authorization URL
"""
linkedin = OAuth2Session(
self.client_id,
redirect_uri=self.redirect_uri,
scope=self.scope,
state=state
)
authorization_url, _ = linkedin.authorization_url(
'https://www.linkedin.com/oauth/v2/authorization'
)
return authorization_url
def get_access_token(self, code: str) -> dict:
"""
Exchange authorization code for access token.
Args:
code (str): Authorization code
Returns:
dict: Token response
"""
import logging
logger = logging.getLogger(__name__)
logger.info(f"🔗 [LinkedIn] Starting token exchange for code: {code[:20]}...")
url = "https://www.linkedin.com/oauth/v2/accessToken"
headers = {
"Content-Type": "application/x-www-form-urlencoded"
}
data = {
"grant_type": "authorization_code",
"code": code,
"redirect_uri": self.redirect_uri,
"client_id": self.client_id,
"client_secret": self.client_secret
}
logger.info(f"🔗 [LinkedIn] Making request to LinkedIn API...")
logger.info(f"🔗 [LinkedIn] Request URL: {url}")
logger.info(f"🔗 [LinkedIn] Request data: {data}")
try:
response = requests.post(url, headers=headers, data=data)
logger.info(f"🔗 [LinkedIn] Response status: {response.status_code}")
logger.info(f"🔗 [LinkedIn] Response headers: {dict(response.headers)}")
response.raise_for_status()
token_data = response.json()
logger.info(f"🔗 [LinkedIn] Token response: {token_data}")
return token_data
except requests.exceptions.RequestException as e:
logger.error(f"🔗 [LinkedIn] Token exchange failed: {str(e)}")
logger.error(f"🔗 [LinkedIn] Error type: {type(e)}")
raise e
def get_user_info(self, access_token: str) -> dict:
"""
Get user information from LinkedIn.
Args:
access_token (str): LinkedIn access token
Returns:
dict: User information
"""
import logging
logger = logging.getLogger(__name__)
logger.info(f"🔗 [LinkedIn] Fetching user info with token length: {len(access_token)}")
url = "https://api.linkedin.com/v2/userinfo"
headers = {
"Authorization": f"Bearer {access_token}"
}
logger.info(f"🔗 [LinkedIn] Making request to LinkedIn user info API...")
logger.info(f"🔗 [LinkedIn] Request URL: {url}")
logger.info(f"🔗 [LinkedIn] Request headers: {headers}")
try:
response = requests.get(url, headers=headers)
logger.info(f"🔗 [LinkedIn] Response status: {response.status_code}")
logger.info(f"🔗 [LinkedIn] Response headers: {dict(response.headers)}")
response.raise_for_status()
user_data = response.json()
logger.info(f"🔗 [LinkedIn] User info response: {user_data}")
return user_data
except requests.exceptions.RequestException as e:
logger.error(f"🔗 [LinkedIn] User info fetch failed: {str(e)}")
logger.error(f"🔗 [LinkedIn] Error type: {type(e)}")
raise e
def _create_temp_image_file(self, image_bytes: bytes) -> str:
"""
Create a temporary file from image bytes.
Args:
image_bytes: Image data as bytes
Returns:
Path to the temporary file
"""
# Create a temporary file
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.jpg')
temp_file_path = temp_file.name
try:
# Write image bytes to the temporary file
temp_file.write(image_bytes)
temp_file.flush()
finally:
temp_file.close()
return temp_file_path
def _cleanup_temp_file(self, file_path: str) -> None:
"""
Safely remove a temporary file.
Args:
file_path: Path to the temporary file to remove
"""
try:
if file_path and os.path.exists(file_path):
os.unlink(file_path)
except Exception as e:
# Log the error but don't fail the operation
logging.error(f"Failed to cleanup temporary file {file_path}: {str(e)}")
def publish_post(self, access_token: str, user_id: str, text_content: str, image_url: str = None) -> dict:
"""
Publish a post to LinkedIn.
Args:
access_token (str): LinkedIn access token
user_id (str): LinkedIn user ID
text_content (str): Post content
image_url (str or bytes, optional): Image URL or image bytes
Returns:
dict: Publish response
"""
temp_file_path = None
url = "https://api.linkedin.com/v2/ugcPosts"
headers = {
"Authorization": f"Bearer {access_token}",
"X-Restli-Protocol-Version": "2.0.0",
"Content-Type": "application/json"
}
try:
if image_url and isinstance(image_url, bytes):
# Handle bytes data - create temporary file and upload
temp_file_path = self._create_temp_image_file(image_url)
# Register upload
register_body = {
"registerUploadRequest": {
"recipes": ["urn:li:digitalmediaRecipe:feedshare-image"],
"owner": f"urn:li:person:{user_id}",
"serviceRelationships": [{
"relationshipType": "OWNER",
"identifier": "urn:li:userGeneratedContent"
}]
}
}
r = requests.post(
"https://api.linkedin.com/v2/assets?action=registerUpload",
headers=headers,
json=register_body
)
if r.status_code not in (200, 201):
raise Exception(f"Failed to register upload: {r.status_code} {r.text}")
datar = r.json()["value"]
upload_url = datar["uploadMechanism"]["com.linkedin.digitalmedia.uploading.MediaUploadHttpRequest"]["uploadUrl"]
asset_urn = datar["asset"]
# Upload image from temporary file
upload_headers = {
"Authorization": f"Bearer {access_token}",
"X-Restli-Protocol-Version": "2.0.0",
"Content-Type": "application/octet-stream"
}
with open(temp_file_path, 'rb') as f:
image_data = f.read()
upload_response = requests.put(upload_url, headers=upload_headers, data=image_data)
if upload_response.status_code not in (200, 201):
raise Exception(f"Failed to upload image: {upload_response.status_code} {upload_response.text}")
# Create post with image
post_body = {
"author": f"urn:li:person:{user_id}",
"lifecycleState": "PUBLISHED",
"specificContent": {
"com.linkedin.ugc.ShareContent": {
"shareCommentary": {"text": text_content},
"shareMediaCategory": "IMAGE",
"media": [{
"status": "READY",
"media": asset_urn,
"description": {"text": "Post image"},
"title": {"text": "Post image"}
}]
}
},
"visibility": {"com.linkedin.ugc.MemberNetworkVisibility": "PUBLIC"}
}
elif image_url and isinstance(image_url, str):
# Handle image upload for URL-based images
register_body = {
"registerUploadRequest": {
"recipes": ["urn:li:digitalmediaRecipe:feedshare-image"],
"owner": f"urn:li:person:{user_id}",
"serviceRelationships": [{
"relationshipType": "OWNER",
"identifier": "urn:li:userGeneratedContent"
}]
}
}
r = requests.post(
"https://api.linkedin.com/v2/assets?action=registerUpload",
headers=headers,
json=register_body
)
if r.status_code not in (200, 201):
raise Exception(f"Failed to register upload: {r.status_code} {r.text}")
datar = r.json()["value"]
upload_url = datar["uploadMechanism"]["com.linkedin.digitalmedia.uploading.MediaUploadHttpRequest"]["uploadUrl"]
asset_urn = datar["asset"]
# Upload image
upload_headers = {
"Authorization": f"Bearer {access_token}",
"X-Restli-Protocol-Version": "2.0.0",
"Content-Type": "application/octet-stream"
}
# Download image and upload to LinkedIn
image_response = requests.get(image_url)
if image_response.status_code == 200:
upload_response = requests.put(upload_url, headers=upload_headers, data=image_response.content)
if upload_response.status_code not in (200, 201):
raise Exception(f"Failed to upload image: {upload_response.status_code} {upload_response.text}")
# Create post with image
post_body = {
"author": f"urn:li:person:{user_id}",
"lifecycleState": "PUBLISHED",
"specificContent": {
"com.linkedin.ugc.ShareContent": {
"shareCommentary": {"text": text_content},
"shareMediaCategory": "IMAGE",
"media": [{
"status": "READY",
"media": asset_urn,
"description": {"text": "Post image"},
"title": {"text": "Post image"}
}]
}
},
"visibility": {"com.linkedin.ugc.MemberNetworkVisibility": "PUBLIC"}
}
else:
# Create text-only post
post_body = {
"author": f"urn:li:person:{user_id}",
"lifecycleState": "PUBLISHED",
"specificContent": {
"com.linkedin.ugc.ShareContent": {
"shareCommentary": {
"text": text_content
},
"shareMediaCategory": "NONE"
}
},
"visibility": {
"com.linkedin.ugc.MemberNetworkVisibility": "PUBLIC"
}
}
response = requests.post(url, headers=headers, json=post_body)
response.raise_for_status()
return response.json()
except Exception as e:
# Re-raise the exception to maintain existing behavior
raise e
finally:
# Clean up temporary file if it was created
if temp_file_path:
self._cleanup_temp_file(temp_file_path) |