Telegram bot works locally but fails on the server. For example:
def ig_handle(download_url):
print('Fetching', download_url)
Could DigitalOcean configuration be causing the issue?
hey finn_mystery, check if your server envs are mis-set. i once had a bot fail due to a mistyped token var, so ensure your config matches local. also, server ip restrictions can be a factor sometimes. good luck!
I’ve faced similar deployment issues where the bot worked perfectly on local setups but encountered troubles once on the server. In one case, the problem wasn’t with the code itself but rather with subtle differences in the environment. I discovered inconsistencies in configuration files between my local and server setup, which led to issues in handling external calls. After revisiting the server’s environment variables, firewall settings, and Python versions, the bot started performing normally again. Ensuring that both environments are fully synchronized and auditing dependencies can often resolve such discrepancies.
I’ve encountered a similar situation before where everything ran smoothly in my local environment, but once deployed to a DigitalOcean droplet, unexpected issues arose. In one case, it turned out that certain environment variables and access rights were not properly set on the server, which led to reusable network or filesystem access errors. Reviewing your server’s firewall rules and ensuring that all dependencies are correctly installed has helped me before. It’s also a good idea to check if your server setup or reverse proxy settings are interfering with inbound requests.
In my experience deploying Telegram bots to cloud servers like DigitalOcean, the key issues typically stem from environment discrepancies. On one project, I encountered similar errors where the local development environment had fewer restrictions compared to production. The problem was traced back to limited user permissions and differences in how network requests were handled in a secured server setup. It proved essential to verify that the production environment’s settings, particularly around file system access and communication protocols, matched the local configuration. I would recommend reviewing user privileges and any server-specific configurations that might limit external calls.