finalized v2 architecture for 2.0.1
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@@ -1,6 +1,6 @@
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#+TITLE: youdis v2 architecture
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#+VERSION: 1
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#+DATE: [2026-03-31 Tue]
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#+VERSION: 3
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* Purpose
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Youdis v2 splits the current monolithic Discord bot into:
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@@ -27,8 +27,8 @@ The goal is to make downloader behavior inspectable, reusable, and easier to deb
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Owns:
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- request validation
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- single active job state
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- yt-dlp configuration loading and merge rules
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- download execution
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- yt-dlp executable invocation
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- yt-dlp configuration selection and runtime argument construction
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- archive behavior
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- output path behavior
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- progress and final result events
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@@ -63,6 +63,20 @@ V2 should start as a single private process boundary with two layers:
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The backend is intended for private/local deployment. Trust comes from deployment topology and network placement, not backend auth.
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** Execution model
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The backend is a thin FastAPI wrapper around the `yt-dlp` executable, not a deep Python integration, unless proven necessary.
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Why this is the default:
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- keeps behavior closer to native `yt-dlp`
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- makes container debugging easier because commands can be reproduced manually
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- avoids reimplementing `yt-dlp` option parsing unless we truly need tighter integration
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This means the backend is primarily responsible for:
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- deciding when `yt-dlp` may run
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- constructing a safe effective command
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- supervising the subprocess while it is active
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- translating process outcomes into a small API contract
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** Backend Contract
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*** Request model
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Minimal fields:
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@@ -74,17 +88,26 @@ Minimal fields:
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Only `url` affects downloader behavior in v2. The rest is passthrough metadata for logs and frontend context.
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*** Result states
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The backend should normalize job outcomes into a small stable vocabulary:
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The backend should keep its external state model deliberately small:
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- `accepted`
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- `busy`
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- `validating`
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- `downloading`
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- `skipped`
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- `running`
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- `completed`
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- `failed`
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- `cancelled`
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These states should be transport-agnostic and human-debuggable.
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These states should be transport-agnostic, human-debuggable, and only distinct when a frontend would behave differently.
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Internal phases and details may be richer, but they should usually be carried as metadata rather than promoted to top-level states.
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Examples of detail fields that can travel alongside the small state model:
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- `phase=validating`
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- `phase=downloading`
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- `disposition=archive_hit`
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- `message=already in archive`
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- `result_path=/downloads/...`
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This keeps the API simple while still leaving room for useful operator-facing detail.
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*** Minimal endpoints
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The first backend seam should stay small:
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@@ -101,7 +124,7 @@ V2 explicitly supports one active job at a time.
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- If idle, the backend accepts a new job and marks it active.
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- If busy, the backend rejects the new request with a `busy` result.
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- Cancel is coarse and best-effort.
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- The backend clears active state when the job reaches `skipped`, `completed`, `failed`, or `cancelled`.
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- The backend clears active state when the job reaches `completed`, `failed`, or `cancelled`.
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This is a feature, not a limitation, for the initial service.
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@@ -109,7 +132,7 @@ This is a feature, not a limitation, for the initial service.
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This is the most important v2 cleanup.
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The backend owns all yt-dlp configuration behavior. Frontends must not build yt-dlp option dictionaries.
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The backend owns all yt-dlp invocation behavior. Frontends must not build `yt-dlp` commands or option dictionaries.
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** Config split
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@@ -122,13 +145,13 @@ Static settings belong in `default-yt-dlp.conf`:
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Runtime settings belong in backend code:
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- target URL
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- progress hooks
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- cancellation hook
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- request-scoped metadata
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- config-file path, if explicitly set at launch
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- request-scoped flags or overrides
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- subprocess lifecycle and cancellation behavior
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- any values that must vary per request
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*** Merge rule
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The backend should load the default config first, then apply a small set of explicit runtime overrides.
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The backend should invoke `yt-dlp` with the default config first, then apply a small set of explicit runtime overrides.
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If a runtime override conflicts with file-backed config, the override wins and the backend should log the effective value used.
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@@ -136,8 +159,7 @@ If a runtime override conflicts with file-backed config, the override wins and t
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For each job, the backend should make it easy to inspect:
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- config file path used
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- whether config loading succeeded
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- effective key yt-dlp options after merge
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- effective `yt-dlp` command or key override arguments
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- final normalized job result
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This exists specifically because the current config behavior has been difficult to reason about.
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@@ -157,25 +179,45 @@ youdis/
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default-yt-dlp.conf
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youdis/
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__init__.py
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api.py
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config.py
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main.py
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models.py
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worker.py
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ytdlp_backend.py
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adapters/
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__init__.py
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discord.py
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docs/
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architecture-v2.md
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architecture-v2.org
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#+end_quote
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Notes:
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- `ytdlp_backend.py` owns yt-dlp integration and result normalization.
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- `worker.py` owns active-job state and lifecycle.
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- `api.py` exposes the minimal HTTP seam.
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- `main.py` owns the FastAPI app, active-job state, and `yt-dlp` subprocess lifecycle.
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- `models.py` owns request and response models.
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- `adapters/discord.py` becomes a thin client of the backend.
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** Example response shape
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One likely response shape for v1:
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#+begin_src json
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{
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"state": "completed",
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"disposition": "archive_hit",
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"message": "already in archive",
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"job_id": "abc123"
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}
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#+end_src
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And for an active job:
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#+begin_src json
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{
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"state": "running",
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"phase": "downloading",
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"message": "downloading 3 of 9",
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"job_id": "abc123"
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}
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#+end_src
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** Framework Recommendation
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FastAPI is the current recommendation for the backend seam.
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@@ -200,7 +242,7 @@ Why this is not a strong ideological choice:
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- single active-job state holder
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- one submit-job path
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- one current-job status path
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- yt-dlp config loading from `default-yt-dlp.conf`
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- explicit runtime overrides for request URL, progress hooks, and cancel behavior
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- `yt-dlp` subprocess invocation using `default-yt-dlp.conf`
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- explicit runtime overrides for request URL and cancel behavior
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The Discord adapter should remain unchanged until that backend skeleton can accept a job and report status coherently.
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