feat: Add collect batch command
#59
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This commit introduces a new `collect batch` command that allows users to collect multiple URLs from a file, stdin, or a JSON registry. The command supports the following features: - Parallel downloads with a configurable number of workers. - Rate limiting with a configurable delay between requests. - The ability to skip already downloaded files. - Progress reporting with a progress bar. - Reading URLs from a file, stdin, or a JSON file with a `jq` filter. Co-authored-by: Snider <631881+Snider@users.noreply.github.com>
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Summary of ChangesHello @Snider, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances the tool's data collection capabilities by introducing a new Highlights
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Warning Rate limit exceeded
⌛ How to resolve this issue?After the wait time has elapsed, a review can be triggered using the We recommend that you space out your commits to avoid hitting the rate limit. 🚦 How do rate limits work?CodeRabbit enforces hourly rate limits for each developer per organization. Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout. Please see our FAQ for further information. 📝 WalkthroughWalkthroughA new batch collection command is introduced, enabling concurrent downloads of URLs from files, JSON input with jq filtering, or stdin. The implementation includes configurable parallelism, rate limiting, file deduplication, and progress tracking. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Command
participant Parser
participant URLPool
participant Worker
participant HTTPClient
participant FileSystem
participant ProgressBar
User->>Command: Run collect batch (file/stdin + flags)
Command->>Parser: Read and parse URLs
Parser-->>Command: URLs list
Command->>ProgressBar: Initialise progress (if TTY)
Command->>URLPool: Create worker pool (N workers)
loop For each URL
Command->>URLPool: Send URL to channel
end
par Worker Processing
Worker->>HTTPClient: GET URL
HTTPClient-->>Worker: Response body
Worker->>FileSystem: Create/check file
Worker->>FileSystem: Write response to disk
Worker->>ProgressBar: Update progress
and Worker Processing
Worker->>HTTPClient: GET URL
HTTPClient-->>Worker: Response body
Worker->>FileSystem: Create/check file
Worker->>FileSystem: Write response to disk
Worker->>ProgressBar: Update progress
end
Command->>URLPool: Wait for completion
URLPool-->>Command: All downloads finished
Command-->>User: Report results
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🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing touches🧪 Generate unit tests (beta)
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Code Review
This pull request introduces a collect batch command, which is a great addition for downloading multiple files. The implementation correctly handles parallel downloads, input from files or stdin, and JSON parsing with jq. The test coverage is also good.
I've found a few issues to address:
- A critical race condition in concurrent file downloads that can lead to corrupted data.
- The directory creation uses overly permissive file modes.
- The rate-limiting implementation isn't effective for parallel downloads.
- Potential for high memory usage when parsing large JSON files.
Details and suggestions are in the specific comments. After addressing these points, the feature will be much more robust and efficient.
| return collectBatchCmd | ||
| } | ||
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| func downloadURL(cmd *cobra.Command, u, outputDir string, skipExisting bool, delayDuration time.Duration, bar *progressbar.ProgressBar, outMutex *sync.Mutex) { |
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There is a critical race condition in this function. When multiple parallel workers try to download URLs that map to the same file path, they can interfere with each other, leading to corrupted files. For example, one worker might be writing to a file while another truncates it by calling os.Create.
To fix this, you should serialize all file operations for a given path. You can achieve this using a sync.Map to hold a mutex for each file path.
- Add this package-level variable:
var fileLocks sync.Map
- Add locking logic inside
downloadURL:func downloadURL(...) { // ... after getting filePath filePath := filepath.Join(outputDir, fileName) mu, _ := fileLocks.LoadOrStore(filePath, &sync.Mutex{}) mu.(*sync.Mutex).Lock() defer mu.(*sync.Mutex).Unlock() // ... rest of the original function body }
| if delayDuration > 0 { | ||
| time.Sleep(delayDuration) | ||
| } |
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The current implementation of --delay is not ideal for rate-limiting parallel downloads. It causes each worker to sleep independently, leading to request bursts rather than a steady global rate.
A better approach is to use a global rate limiter that all workers respect. This time.Sleep should be removed, and a rate-limiting mechanism (e.g., using time.Ticker) should be added in the worker dispatch loop in RunE.
Example:
// In RunE:
var limiter <-chan time.Time
if delayDuration > 0 {
ticker := time.NewTicker(delayDuration)
defer ticker.Stop()
limiter = ticker.C
}
// ...
// In worker goroutine:
for u := range urlsChan {
if limiter != nil {
<-limiter
}
downloadURL(...)
// ...
}|
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| var input interface{} | ||
| decoder := json.NewDecoder(reader) | ||
| if err := decoder.Decode(&input); err != nil { |
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decoder.Decode(&input) reads the entire JSON content into memory before processing. This can lead to high memory consumption and performance issues with very large JSON files. Consider using a streaming JSON parser if large inputs are expected, to process the data more efficiently without loading it all into memory at once.
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Actionable comments posted: 2
🤖 Fix all issues with AI agents
In `@cmd/collect_batch_test.go`:
- Around line 180-203: The test reuses the same Cobra command instance `cmd`
between runs which can retain flag/state; to fix, instantiate a fresh command
for the second run by calling `NewCollectBatchCmd()` again (e.g., newCmd :=
NewCollectBatchCmd()) and then call `newCmd.SetOut(&out)`,
`newCmd.SetArgs([]string{urlsFile, "--output-dir", outputDir, "--continue"})`
and `newCmd.Execute()` so flags/state do not leak from the first invocation of
`cmd`.
In `@cmd/collect_batch.go`:
- Around line 131-136: Replace the use of http.Get(...) with an http.Client that
has a sane Timeout to avoid hanging; use that client to perform the GET for URL
variable u, capture resp and err as you do now, and on error call
logMessage(cmd, fmt.Sprintf(...), bar, outMutex) and return; after a successful
request check resp.StatusCode and treat any status >= 400 as an error
(logMessage and return) before proceeding to read/write the body; ensure you
still defer resp.Body.Close() after confirming resp is non-nil.
🧹 Nitpick comments (4)
cmd/collect_batch.go (3)
70-72: Consider using more restrictive directory permissions.
os.ModePerm(0777) grants full permissions to all users. Typically, 0755 is preferred for directories to restrict write access.♻️ Suggested change
- if err := os.MkdirAll(outputDir, os.ModePerm); err != nil { + if err := os.MkdirAll(outputDir, 0755); err != nil {
212-224: URL query strings are preserved in filenames.
filepath.Base(parsedURL.Path)does not account for query strings in the raw URL if they were somehow included in the path, and more importantly,parsedURL.RawQuerycontent is ignored. Whileurl.Parseseparates query strings correctly, consider usingpath.Basefor URL paths and stripping query parameters explicitly for robustness.Additionally, multiple URLs with the same filename (e.g., different domains) would overwrite each other silently.
♻️ Suggested improvement
+import "path" + func getFileNameFromURL(rawURL string) (string, error) { parsedURL, err := url.Parse(rawURL) if err != nil { return "", err } if parsedURL.Scheme != "http" && parsedURL.Scheme != "https" { return "", fmt.Errorf("invalid URL scheme: %s", parsedURL.Scheme) } if parsedURL.Path == "" || parsedURL.Path == "/" { return "index.html", nil } - return filepath.Base(parsedURL.Path), nil + return path.Base(parsedURL.Path), nil }Consider documenting the filename collision behaviour or adding hostname-based prefixing as a future enhancement.
205-208: Non-string jq results are silently ignored.When the jq filter returns non-string values (e.g., numbers, objects), they are silently skipped. This could be confusing if users misconfigure their filter. Consider logging a warning or returning an error for unexpected types.
♻️ Optional: warn on non-string values
for { v, ok := iter.Next() if !ok { break } if err, ok := v.(error); ok { return nil, fmt.Errorf("error executing jq filter: %w", err) } if s, ok := v.(string); ok { urls = append(urls, s) + } else if v != nil { + // Optionally log: non-string value ignored } }cmd/collect_batch_test.go (1)
164-165: Pipe creation error is ignored.The error from
os.Pipe()is discarded. Whilst unlikely to fail in tests, checking the error improves robustness.♻️ Suggested change
- r, w, _ := os.Pipe() + r, w, err := os.Pipe() + if err != nil { + t.Fatalf("failed to create pipe: %v", err) + }
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This commit resolves the CI failure by correcting a typo in the `downloadURL` function. The `httpClient.Get(u)` call was replaced with the correct `http.Get(u)` call, and an unused import was removed.
This change introduces a new
collect batchcommand that allows users to collect multiple URLs from a file, stdin, or a JSON registry. The command supports parallel downloads, rate limiting, and progress reporting, providing a powerful and efficient way to collect a large number of resources.Fixes #23
PR created automatically by Jules for task 10729746708703034073 started by @Snider