How to Troubleshoot ReClip Network Errors: A Complete Diagnostic Guide

ReClip network errors are diagnosed by tracing three layers—Flask API, yt-dlp subprocess execution, and container networking—with specific timeout and error handling logic located in app.py.

ReClip is a lightweight Flask application that orchestrates yt-dlp for video metadata retrieval and downloads. When network errors occur, they typically manifest at one of three distinct points in the request lifecycle. Understanding this architecture according to the averygan/reclip source code is essential for rapid troubleshooting.

Where Network Errors Originate in ReClip

ReClip delegates all network activity to external yt-dlp processes. This design means network errors are captured from subprocess output rather than handled directly by Python networking libraries.

Layer	Failure Point	Code Location
Client → Flask	Request never reaches the server	@app.route("/api/info") at lines 97-140
Flask → yt-dlp	Subprocess returns non-zero exit code	subprocess.run() calls at lines 104-108, 50-55, 36-45
Container networking	DNS or outbound connectivity failure	docker-compose.yml port mapping at lines 1-9

The core execution pattern in app.py follows this structure:

# From app.py lines 104-108 (info endpoint)

cmd = ["yt-dlp", "--no-playlist", "-j", url]
result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
if result.returncode != 0:
    return jsonify({"error": result.stderr.strip().split("\n")[-1]}), 500

Common ReClip Network Error Symptoms and Causes

Each error message returned by ReClip maps to a specific root cause. Use this reference to accelerate your diagnosis.

Error Message	Root Cause	Immediate Verification Step
"Timed out fetching video info"	Video host response exceeded 60-second timeout	Run yt-dlp -j <url> directly on the host
"Download timed out (5 min limit)"	Download exceeded 300-second limit in run_download	Check line 84 timeout value
[Errno 11001] getaddrinfo failed	DNS resolution failure inside container	Execute cat /etc/resolv.conf in container
Connection reset by peer	Remote host terminated TCP connection	Add --verbose flag to yt-dlp command
No such file or directory: yt-dlp	Binary missing from container image	Run docker exec <container> yt-dlp --version
HTTP Error 403: Forbidden	Age restriction, region block, or rate limiting	Test with --proxy or --geo-bypass flags

Step-by-Step ReClip Network Troubleshooting

1. Verify Flask Service Accessibility

Confirm the HTTP layer functions before investigating deeper network issues.

curl http://localhost:8899/

A successful response indicates the Flask server and Docker port mapping (8899:8899 in docker-compose.yml) are operational. No response suggests firewall, reverse proxy, or Docker networking misconfiguration.

2. Inspect Container Logs for Startup Failures

docker logs <reclip_container_name>

Early failures—missing Python dependencies or yt-dlp installation problems—surface here. The Dockerfile responsibility includes ensuring yt-dlp is available in the container image.

3. Validate yt-dlp Operation Inside Container

Execute a manual test using identical parameters to ReClip's internal calls:

docker exec -it reclip_app yt-dlp -j "https://www.youtube.com/watch?v=dQw4w9WgXcQ"

This isolates whether the error originates from yt-dlp itself or ReClip's subprocess handling.

4. Test Container Outbound Connectivity

docker exec -it reclip_app ping -c 3 8.8.8.8

Failure indicates Docker network configuration or host firewall rules blocking egress traffic. Success confirms the container reaches the internet, narrowing the issue to DNS or application-level problems.

5. Review Timeout Configuration in app.py

ReClip implements two critical timeouts in app.py:

• Info requests: 60 seconds at lines 106-107
• Download requests: 300 seconds at lines 84-86

Edit these values directly in app.py if your network conditions require longer allowances.

6. Enable Verbose yt-dlp Debugging

Modify the run_download function at line 36 to append diagnostic flags:

# Enhanced debugging version

cmd = ["yt-dlp", "--dump-json", "--verbose", "-f", "best", url]

This exposes detailed connection attempts, HTTP headers, and retry behavior.

7. Parse Error Responses from API

ReClip unifies error propagation through JSON responses containing an "error" key. The front-end at templates/index.html displays error.message. Capture these programmatically:

curl -s -X POST http://localhost:8899/api/info \
  -H "Content-Type: application/json" \
  -d '{"url":"https://example.com/video"}' | jq .

Reproducing ReClip Network Errors Programmatically

This Python snippet mirrors ReClip's internal logic for isolated testing:

import subprocess
import json

def replicate_reclip_info_call(url: str, timeout: int = 60):
    """
    Replicates the subprocess call from app.py lines 104-108
    """
    cmd = ["yt-dlp", "--no-playlist", "-j", url]
    
    try:
        result = subprocess.run(
            cmd,
            capture_output=True,
            text=True,
            timeout=timeout
        )
        
        if result.returncode != 0:
            # Matches app.py error extraction logic

            error_msg = result.stderr.strip().split("\n")[-1]
            raise RuntimeError(f"yt-dlp failed: {error_msg}")
            
        return json.loads(result.stdout)
        
    except subprocess.TimeoutExpired:
        raise RuntimeError(f"Timed out fetching video info ({timeout}s limit)")

# Test with problematic URL

try:
    info = replicate_reclip_info_call("https://www.youtube.com/watch?v=dQw4w9WgXcQ")
    print(f"Title: {info.get('title')}")
except RuntimeError as e:
    print(f"Network error reproduced: {e}")

Extending ReClip for Resilient Network Operations

For production deployments, consider these modifications to app.py:

• Retry logic: Wrap subprocess.run() with exponential backoff for transient failures
• Configurable timeouts: Replace hardcoded values with environment variables
• Proxy support: Add optional --proxy parameter injection in run_download

The current implementation at lines 137-138 uses bare except subprocess.TimeoutExpired blocks that return generic messages—enhance these to include retry recommendations or alternative format suggestions.

Summary

• ReClip network errors propagate from yt-dlp subprocess stderr, captured in app.py and returned as JSON error responses
• Three timeout points exist: 60s for info retrieval, 300s for downloads, both adjustable in app.py
• Container networking failures require Docker-level diagnosis—verify with docker exec commands before debugging application code
• Direct yt-dlp testing inside the container is the fastest validation method for host connectivity issues

Frequently Asked Questions

What does "Timed out fetching video info" mean in ReClip?

This error originates from the subprocess.TimeoutExpired handler at lines 137-138 in app.py. The yt-dlp process failed to return video metadata within 60 seconds. Test the same URL with standalone yt-dlp -j <url> to determine if the delay is host-side or container-specific.

How do I increase download timeout limits in ReClip?

Edit the timeout parameter in run_download at line 84 of app.py. The default 300 seconds (5 minutes) accommodates most connections but may require extension for large files or bandwidth-constrained environments. Restart the container after modification.

Why does ReClip work locally but fail in Docker?

Container networking isolation typically causes this discrepancy. Verify docker-compose.yml exposes port 8899 correctly, then test outbound connectivity with docker exec <container> ping 8.8.8.8. DNS resolution failures inside containers often require custom resolv.conf configuration or Docker daemon DNS settings.

Where does ReClip store detailed error logs?

ReClip does not implement persistent logging—all errors surface through the API JSON response with the "error" key. For forensic analysis, modify app.py to log result.stderr before line 108 or capture container output with docker logs -f <container>.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}