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Feature/architectural conventions standard (#243)
* feat(conventions): standard schema models + effective-map merge * feat(conventions): tree-sitter Python classifier + placement checks * feat(conventions): TS classifier, hygiene/custom checks, runner + CLI * feat(conventions): ROBOCO_CONVENTIONS_ENABLED flag + cache table + migration * feat(conventions): repo auto-scan + scaffold draft renderer * feat(conventions): ConventionsService (cache/baseline/ambient/scaffold/restore) * feat(conventions): auto-scaffold on project registration (flag-gated) * feat(conventions): TaskDescription.constraints + auto-baseline attach * feat(conventions): ambient architecture-map injection at spawn * test(conventions): subprocess CLI smoke for the agent-image entrypoint * feat(conventions): block i_am_done on block-level convention violations * feat(conventions): block pr_pass on unresolved convention violations * feat(conventions): surface convention findings into QA evidence * docs(prompts): convention awareness for PO/Intake/Dev/QA/PR-reviewer * feat(conventions): panel Conventions tab + flag toggle + parity * test(conventions): end-to-end block, fix, and waiver through the gate * refactor(conventions): extract pr_pass guards to keep pr_gate under the gate * style(conventions): format the baseline-constraints attach in task.create * test(conventions): type-annotate test helpers for the full mypy gate * build(conventions): ignore types-PyYAML in deptry (mypy-only type stub) * docs(conventions): document the standard in CLAUDE.md + PM prompt awareness * fix(conventions): baseline constraints are non-suppressible (dedup-append) * feat(conventions): scaffold on first workspace clone (threaded workspace) * feat(conventions): multi-project ambient map for PO/Intake (per-product) * feat(conventions): persist findings + violations-feed route (migration 044) * feat(conventions): panel violations feed in the Conventions tab * test(conventions): intake-spawn mock accepts the ambient layer kwarg * fix(docker): ollama-init best-effort pull, gate startup on cached models present A degraded/slow ollama registry made the model manifest re-check fail under set -e, so ollama-init exited 1 and blocked the orchestrator's service_completed_successfully gate — taking the whole stack down even though both models were already cached. Pulls are now best-effort; success is gated on the models being present, so a flaky registry can't down a cached deployment. * refactor(content): drop dead TaskDescription.with_baseline_constraints The structured baseline-merge helper had zero production callers. Project-task baseline constraints are attached by the wired string backstop (TaskService._attach_baseline_constraints), and a real task is free-form prose that cannot form a valid TaskDescription (requires a non-trivial objective + non-empty the_work), so the helper was unreachable from any live path — a leftover from the structured-merge -> string-append design pivot. Removing it leaves a single enforcement path. The constraints field itself stays: it is a member of the well-formed-spec schema (Objective / What This Builds / The Work / Notes / Constraints / Acceptance Criteria), rendered by render_markdown and unit-tested. --------- Co-authored-by: Renn F <rennf93@users.noreply.github.com>
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@@ -71,22 +71,26 @@ services:
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entrypoint: ["/bin/sh", "-c"]
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command:
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- |
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set -e
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echo "=== Pulling embedding model (qwen3-embedding:0.6b) ==="
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# Ollama /api/pull streams JSON lines until complete - consume full stream
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# Note: $$ escapes $ for docker-compose variable substitution
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# NO `set -e`: pulls are best-effort. Cached models persist in the ollama
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# volume and MUST survive a slow/unreachable ollama registry — a manifest
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# re-check failure there must never down a fully-cached deployment (it
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# used to: a degraded registry made `ollama pull` fail under set -e, which
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# blocked the orchestrator's service_completed_successfully gate). Success
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# is gated on the models being PRESENT (verify step), not on the pull.
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# Note: $$ escapes $ for docker-compose variable substitution.
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echo "=== Pulling embedding model (qwen3-embedding:0.6b) — best-effort ==="
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curl -sN http://ollama:11434/api/pull -d '{"name":"qwen3-embedding:0.6b"}' | while read -r line; do
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status=$$(echo "$$line" | grep -o '"status":"[^"]*"' | cut -d'"' -f4)
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[ -n "$$status" ] && echo " $$status"
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done
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echo "=== Pulling LLM model (glm-5:cloud) ==="
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done || echo " (pull failed — relying on the cached model)"
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echo "=== Pulling LLM model (glm-5:cloud) — best-effort ==="
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curl -sN http://ollama:11434/api/pull -d '{"name":"glm-5:cloud"}' | while read -r line; do
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status=$$(echo "$$line" | grep -o '"status":"[^"]*"' | cut -d'"' -f4)
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[ -n "$$status" ] && echo " $$status"
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done
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echo "=== Verifying models are available ==="
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curl -sf http://ollama:11434/api/tags | grep -q "qwen3-embedding" && echo " qwen3-embedding: OK"
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curl -sf http://ollama:11434/api/tags | grep -q "glm-5" && echo " glm-5: OK"
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done || echo " (pull failed — relying on the cached model)"
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echo "=== Verifying models are present (the real success gate) ==="
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curl -sf http://ollama:11434/api/tags | grep -q "qwen3-embedding" || { echo "FATAL: qwen3-embedding missing and could not be pulled"; exit 1; }
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curl -sf http://ollama:11434/api/tags | grep -q "glm-5" || { echo "FATAL: glm-5 missing and could not be pulled"; exit 1; }
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echo "=== All models ready! ==="
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# ==========================================================================
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