Telegram bot calling a Node.js route returns a number instead of object properties. For example:
server.get('/notify', (req, res) => res.json({ info: 'ok' }));
bot.on('!alert', msg => http.get({ host: 'example.com', path: '/notify' }, resp => resp.on('data', chunk => console.log(chunk))));
Why is this misbehaving?
I encountered a similar issue when integrating a Node.js API with a messaging bot. The problem was not that the API was returning the wrong type, but rather that the response was being interpreted in chunks as Buffer objects. This can sometimes lead to unexpected behavior if the chunks aren’t accumulated to form a complete JSON string before parsing. The solution was to buffer the response data fully and then parse it with JSON.parse once the stream had ended. Adjusting the code to include aggregation of the streamed data resolved the issue.
I faced a similar challenge when working on a Node.js integration with a messaging service. It turned out that the direct logging of the raw response data resulted in unexpected output because the complete payload was not being assembled. Instead of immediately logging the received chunk, I opted for a method that buffered all the data until the stream completed. This allowed me to properly parse the whole response as JSON. In my case, ensuring the HTTP response headers correctly indicated the content type also helped streamline the process.
i think ur issue is handling the response. u need to buffer the chunks until the complete json string forms before parsing. check your encoding too, it may be misinterpretd if not using utf-8 fully. give that a shot.
I encountered a similar problem while integrating Node.js with a Telegram bot several months ago. I found that the response stream wasn’t being accumulated properly, leading to incomplete chunks being processed. This resulted in unexpected values when trying to parse the response. My resolution was to gather all the chunks into a single buffer and then perform JSON.parse after the ‘end’ event was fired on the response stream. Incorporating robust error handling around the parsing significantly improved reliability in my application.
When integrating Node.js with a Telegram bot, an issue I encountered was related to the way the HTTP response was handled. Initially, I assumed that calling the endpoint would directly return a parsed JSON object. However, the data was coming in chunks, which caused misinterpretation of the overall response. I revised my code to first specify an encoding and then accumulate the chunks properly in a variable until the stream ended. Once I gathered all the data, I parsed it as a JSON string. This approach ensured that the complete and correct object was processed.