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Iserv

HTTP client for IServ school platforms. Log in to an IServ instance (e.g. https://grabbe-dt.de) and fetch common student data like unread mail counts, calendar events, files/folders, tasks/exercises, announcements/news, and other IServ modules via HTTP endpoints. Includes best-effort file ops + exercise submission.

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版本0.1.0
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name: iserv description: HTTP client for IServ school platforms. Log in to an IServ instance (e.g. https://grabbe-dt.de) and fetch common student data like unread mail counts, calendar events, files/folders, tasks/exercises, announcements/news, and other IServ modules via HTTP endpoints. Includes best-effort file ops + exercise submission.

IServ (school platform)

This skill uses an HTTP client (no browser automation) to log in and call IServ endpoints.

Credentials / security

  • Do NOT hardcode credentials.
  • Provide credentials via environment variables.

Single profile:

  • ISERV_BASE_URL (e.g. https://grabbe-dt.de)
  • ISERV_USER
  • ISERV_PASS

Multiple profiles (parallel):

  • set ISERV_PROFILE=<name> or pass --profile <name>
  • provide ISERV_<PROFILE>_BASE_URL, ISERV_<PROFILE>_USER, ISERV_<PROFILE>_PASS

Commands

cd skills/iserv/scripts

# unread inbox count
./iserv.py mail-unread

# last 3 mails (IMAP)
./iserv.py mail-last --n 3

# upcoming calendar events (JSON)
./iserv.py calendar-upcoming

# list files (JSON)
./iserv.py files-list --path "/"        # root
./iserv.py files-list --path "/Files"   # typical user file area

# search files/folders recursively by substring
./iserv.py files-search --query "bio" --start-dir "/Files" --max-depth 6

# download a file (best-effort across IServ versions)
./iserv.py files-download --path "/Files/foo.pdf" --out-dir ./downloads

# upload a file (prefers FS Dropzone-style chunked upload; falls back to legacy form upload)
./iserv.py files-upload --file ./foo.pdf --dest-dir "/Files"
# optionally tune chunk size (bytes)
./iserv.py files-upload --file ./foo.pdf --dest-dir "/Files" --chunk-size 8388608

# create folder (best-effort; depends on IServ version)
./iserv.py files-mkdir --path "/Dokumente/Neu"

# rename/move (best-effort)
./iserv.py files-rename --src "/Dokumente/Alt.txt" --dest "/Dokumente/Neu.txt"

# delete (best-effort; USE WITH CARE)
./iserv.py files-delete --path "/Dokumente/Neu.txt"

# messenger: list chats / conversations
./iserv.py messenger-chats

# messenger: fetch messages for a chat
./iserv.py messenger-messages --chat-id <ID>

# messenger: send message
./iserv.py messenger-send --chat-id <ID> --text "Hello"

# list exercises (best-effort HTML scrape)
./iserv.py exercise-list --limit 50

# view one exercise + list attachments (optionally download them)
./iserv.py exercise-detail --id 123
./iserv.py exercise-detail --id 123 --download-dir ./downloads

# attempt to submit an exercise file (best-effort; depends on IServ version)
./iserv.py exercise-submit --id 123 --file ./solution.pdf --comment "Abgabe"

Notes / next steps

  • Exercises: listing/details/submission are implemented via HTML scraping. Submission is now form-driven (parses the actual <form> on the exercise page and posts multipart), which is more robust than guessing an internal upload API. If it still fails on a specific IServ instance, capture:

    • the HTML of the exercise detail page (after login)
    • response status + redirect URL
  • Files: list/download/upload + mkdir/rename/delete are implemented as best-effort across IServ versions. Some instances expose slightly different endpoints; the client tries to discover Symfony FOS routes (when available) and falls back to common API paths.

Ideas to extend further:

  • richer exercise parsing (due dates, teacher, description)
  • announcements/news
  • messenger notifications (currently experimental)
  • robust file search, move/copy, and recursive folder download

Reference: IServ routes are discoverable via the bundled FOS routes JS (commonly /iserv/js/fos_js_routes.js; some instances also use /iserv/js/assets/fos_js_routes*.js).

如何使用「Iserv」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Iserv」技能完成任务
  4. 结果即时呈现,支持继续对话优化

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