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build out morpheus-docs MCP stack, mirroring hvm-docs through Phases 1-13

Browse Source 
Initial scaffold: the docs-mcp-template clone with all the
HVM-validated stack ported across, customized for Morpheus
Enterprise (PRODUCT_NAME=morpheus, server name morpheus-docs).

Bundles (live-discovered 2026-05-22; 1710 cataloged pages total):
* morpheus_user_manual_8_1_0  sd00007510en_us  568 pages (Feb 2026)
* morpheus_user_manual_8_1_1  sd00007621en_us  569 pages (Mar 2026)
* morpheus_user_manual_8_1_2  sd00007732en_us  569 pages (Apr 2026)
* morpheus_release_notes_8_1_0  sd00007496en_us  single-doc
* morpheus_release_notes_8_1_1  sd00007610en_us  single-doc
* morpheus_release_notes_8_1_2  sd00007733en_us  single-doc
* morpheus_quickspecs            a50009231enw     html-file (live
  curl_cffi against www.hpe.com; all 12+ Enterprise SKUs captured —
  S6E64..S6E73AAE for new/renewal/upgrade × 1/3/5-yr terms, plus
  services SKUs HA124A1#V38/V39 and H46SBA1).

No Deployment Guide or Qualification Matrix on HPE Support for
Morpheus Enterprise specifically — the only QM (sd00006551en_us)
covers HVM clusters managed by Morpheus and lives in hvm-docs.

Stack carried forward from hvm-docs:
* rag/{index,chunk,embeddings,bm25}.py — including the
  MAX_CHARS=4000 chunk-cap fix for table-dense content
* docs_mcp/{server,usage}.py — 11 MCP tools, BM25-default search,
  cross-encoder rerank, hybrid behind HYBRID_SEARCH=true,
  morpheus_api_lessons (renamed from hvm_api_lessons), env-gated
  submit_doc_bug
* docs_mcp/api_lessons.md — Morpheus-specific scaffold covering
  licensing model, HVM elevation path, REST vs Plugin API, with
  TODO markers for sections to flesh out from real ops experience
* scrape/{runner,quickspecs,changelog,bundles}.py — TOC + single-doc
  + html-file modes, curl_cffi Chrome120 for www.hpe.com edge bypass
* eval/{retrievers,run_eval}.py + queries.jsonl scaffold (4 placeholder
  queries; populate after first scrape)
* scripts/{rerank_server,usage_report,registry_gc}.py
* .gitea/workflows/{refresh,image-only}.yml — same Gitea Actions
  setup zerto-docs uses (push LAN, pull public-URL, GPU Ollama pool)
* deploy/docker-compose.yml — morpheus-docs-mcp service definition,
  shared jina-rerank sidecar, Watchtower-labeled
* Dockerfile, requirements.txt, requirements-rerank.txt

Verified locally: scrape produced 1599 .md pages (some TOC entries
are parent-only and yield no body), 6353 chunks all under the 4 KB
cap, MCP server boots and lists 11 tools cleanly.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Justin Paul
2026-05-22 15:26:24 -04:00
parent 43728320bf
commit fa448f94e1
22 changed files with 2822 additions and 247 deletions
Download Patch File Download Diff File Expand all files Collapse all files
rag/embeddings.py
+21 -4
View File
@@ -3,8 +3,15 @@
Swappable: implement the same `embedding_function()` interface returning
a Chroma `EmbeddingFunction` and the rest of the pipeline doesn't care.
Defaults (override via env):
OLLAMA_URL one or more comma-separated URLs (load-balanced)
Env-configurable (matches the zerto-docs-rag pattern so the same Gitea
runner + GPU-pinned Ollama containers can serve every docs MCP build):
OLLAMA_URLS comma-separated list, load-balanced round-robin per batch.
Preferred — set in the CI workflow to fan out across two
GPU-pinned Ollama containers on the Gitea host.
OLLAMA_URL single endpoint, fallback when OLLAMA_URLS is unset.
Default http://192.168.0.2:11434 (the host where the GPUs
live in Justin's lab).
EMBED_MODEL model name; default 'nomic-embed-text'
EMBED_DIM expected embedding dim; default 768 (nomic-embed-text)
"""
@@ -19,8 +26,18 @@ from chromadb import EmbeddingFunction, Documents, Embeddings
log = logging.getLogger(__name__)
OLLAMA_URLS = [u.strip() for u in os.environ.get("OLLAMA_URL",
"http://localhost:11434").split(",") if u.strip()]
DEFAULT_OLLAMA_URL = "http://192.168.0.2:11434"
def _resolve_urls() -> list[str]:
raw = os.environ.get("OLLAMA_URLS", "").strip()
if raw:
return [u.strip().rstrip("/") for u in raw.split(",") if u.strip()]
single = os.environ.get("OLLAMA_URL", DEFAULT_OLLAMA_URL).strip().rstrip("/")
return [single]
OLLAMA_URLS = _resolve_urls()
EMBED_MODEL = os.environ.get("EMBED_MODEL", "nomic-embed-text")
EMBED_DIM = int(os.environ.get("EMBED_DIM", "768"))