Commit Graph

53 Commits

Author SHA1 Message Date
root
e384e627d1 PPTX icon resolver: prefer full icon group over text-strip variant
OCI_Icons.pptx ships both a full icon group (tag=grpSp, ~0.7" tall)
and a tiny "label strip" (tag=sp, ~0.2" tall) under the same slug for
many services. The previous resolver picked whichever came first in
the index, which for 'mysql' returned the text strip — so the PPTX
diagram showed a label-only shape instead of the dolphin/HeatWave
icon, while drawio rendered the proper stencil.

Two fixes, both persistent (apply to every icon family, not just MySQL):

- TYPE_TO_ICON for mysql/heatwave now lists 'mysql_heatwave' (the
  grpSp) before 'mysql' (the strip).
- _select_preferred_ref now filters viable refs to those that are
  either grpSp/pic OR have a bbox ≥0.4"x0.4" — text strips fall out
  before the scoring function runs.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 21:42:21 -03:00
root
e5a1959585 Diagram tooling: make targets, CI gate, LLM-rewrite hook, refresh docs
Implements points 3–8 of the post-procedure follow-up.

- Make targets: diagram-lookup, diagram-validate-spec, diagram-spec-audit,
  archcenter-descriptions-refresh, archcenter-smoke. Promotes the new
  tools out of "remember the CLI" into discoverable build-automation.
- .gitea/workflows/diagram-validators.yaml — runs spec validator across
  every absolute_layout spec on push/PR, plus a drawio re-render smoke
  test on the canonical example. Hard fail blocks merges.
- archcenter_pattern_lookup --llm-rewrite — opt-in (ANTHROPIC_API_KEY
  env var, mirroring DRAWIO_EXE pattern). Rewrites natural-language
  queries into canonical OCI terminology before scoring; falls back to
  the original query on any error.
- diagram_spec_validator — documents the policy on legacy archcenter
  reproductions: LABEL_NEAR_PARENT_EDGE stays a warning so verbatim
  reconstructions don't lose pixel-fidelity from cosmetic edits.
- README — documents the asset refresh procedure (downloader +
  description fetcher are idempotent, refresh quarterly).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 21:37:28 -03:00
root
b30a4f0d32 Diagram generation: ref-arch-driven procedure + spec validator + KB enrichment
The diagram path now follows a documented standard procedure (lookup
the closest Oracle Architecture Center reference → confirm components
→ author absolute_layout → spec validator → render → visually verify)
and ships persistent guardrails so layout regressions can't recur.

Persistent procedure changes (apply to all users, all sessions):
- tools/diagram_spec_validator.py — geometry checks (CONTAINER_TOO_THIN,
  CONTAINER_PADDING_VIOLATION, LABEL_OVERFLOW_PARENT) run BEFORE either
  renderer (drawio + PPTX). Catches the subnet-collapse / label-overflow
  bugs that the post-render drawio validator missed.
- tools/oci_diagram_gen.py + tools/oci_pptx_diagram_gen.py — call the
  spec validator before emitting any output. Adds mysql / mysql_heatwave
  type aliases.
- tools/archcenter_pattern_lookup.py — scores against cached page
  descriptions (not just the 1-line summary), supports --queries for
  multi-fragment composition, and applies synonym expansion via
  kb/architecture-center/synonyms.yaml so "LB HA cross AD" matches
  "load balancer high availability availability domain".
- kb/architecture-center/synonyms.yaml — canonical synonym table
  (load balancer, autonomous database, data guard, …) used by the
  lookup scorer.

KB enrichment:
- tools/archcenter_description_fetcher.py + 121 cached _description.md
  under kb/diagram/assets/archcenter-refs/<slug>/. Removes the runtime
  dependency on docs.oracle.com when authoring specs and feeds the
  pattern-lookup scorer.
- 110+ cached .drawio / .svg / .png references for offline reuse,
  plus the OCI Toolkit v24.2 import (kb/diagram/assets/oci-toolkit-drawio).

Documentation:
- docs/skill/output-formats.md — new "Standard diagram-generation
  procedure (MANDATORY)" + geometry rules + the new validator entry.
- SKILL.md option 2 — references the mandatory procedure.
- README.md — describes the spec validator, archcenter_pattern_lookup
  and description fetcher, and updates the KB-health table.

Tooling that backs the procedure (cumulative across recent sessions):
tools/archcenter_case_runner.py, archcenter_batch_driver.py,
archcenter_zip_downloader.py, drawio_visual_validator.py,
drawio_fidelity_eval.py, harvest_drawio_icon.py, import_oci_library.py,
oci_pptx_diagram_gen.py, oci_pptx_render.py, refresh_pptx_icon_index.py.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 21:15:21 -03:00
root
2491c38d4b Fail-fast and log HTTP response on PR/issue creation
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Previous curl calls ignored exit codes — PR/issue creation was silently
failing (branch got pushed but no PR/issue landed) while the step reported
green. Now each curl captures the response body and HTTP status, prints
both for debugging, and exits non-zero if status != 201.

Also dropped the labels field from the issue payload — Gitea rejects
issue creation when referenced labels don't exist in the repo, which
may have contributed to the silent failure. Labels can be added
manually post-creation.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 17:45:12 -03:00
d9b1bb52a4 update ADB serverless KB for AI Lakehouse workload 2026-04-24 15:50:05 -03:00
root
9fbe05a6a5 Use per-run branch name to avoid push collisions
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Prior run pushed automation/sku-refresh-2026-04-24 successfully but
failed before opening the PR (issue-creation bug, now fixed). On the
next run, main has moved, so a new commit on the same branch name has
a different parent → non-fast-forward rejection.

Append ${{ github.run_number }} to make the branch unique per workflow
invocation. Orphan branches left behind can be cleaned up after their
PRs are merged/closed.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 12:45:57 -03:00
root
9b4d04cf34 Make discover count machine-readable for CI parsing
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The workflow's grep-on-free-text approach was fragile: local run correctly
extracted 162, but in the CI run the 'Open issue' step was skipped, meaning
new_count ended up as 0 after parsing. Likely causes: stdout buffering,
color codes, or shell differences between local and the Gitea runner's
shell.

Fix: tools/refresh_sku_catalog.py --discover now emits a deterministic
last-line marker `DISCOVER_MISSING_COUNT=<n>`. The workflow parses that
with sed (anchored, unambiguous) instead of the human-facing summary
line. Also added a diagnostic echo so the parsed value shows up in CI
logs for future debugging.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 12:43:06 -03:00
root
30394ece48 Pin upload-artifact to v3 for Gitea Actions compatibility
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Gitea Actions runner does not support actions/upload-artifact v2.0.0+
(error: "@actions/artifact v2.0.0+, upload-artifact@v4+ and
download-artifact@v4+ are not currently supported on GHES").

The v4 release switched to a new artifact API that only GitHub-hosted
runners implement. v3 still uses the v1 API and works on Gitea /
self-hosted / GHES runners.

Downgraded in both sku-catalog-refresh.yaml and kb-health.yaml.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 12:31:58 -03:00
root
480c4bca52 Fix Python setup in Gitea Actions workflows
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The oci-mcp-runner uses node:20-bookworm which runs as root and does
NOT ship with sudo installed. Our workflows used 'sudo apt-get' → step
failed with 'sudo: command not found' (exit 127) on first invocation
of sku-catalog-refresh.yaml.

Fix both affected workflows (sku-catalog-refresh + kb-health):
- Drop the `sudo` prefix (we're already root).
- Install Python deps via apt packages (python3-requests, python3-yaml,
  python3-bs4) instead of pip. Avoids PEP 668 / externally-managed
  environment error on Debian 12 and is faster/cacheable by the runner.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 12:24:35 -03:00
root
433b08071b Use auto-provisioned GITHUB_TOKEN in SKU refresh workflow
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Switch from manually-configured secrets.GITEA_TOKEN to the auto-provisioned
secrets.GITHUB_TOKEN that Gitea Actions creates per run. Scoped to the repo,
rotates per workflow run, no manual config needed.

Added explicit permissions block (contents:write, pull-requests:write,
issues:write) so the ephemeral token has the scopes required to push a
branch, open the PR, and open the issue for new SKUs.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 11:51:00 -03:00
root
874d40d38a Improve SKU catalog hygiene and BOM accuracy
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- refresh_sku_catalog.py: add --discover to report API SKUs missing from
  catalog, filtered to already-curated serviceCategory values. Auto-runs
  at end of --validate and --refresh so gaps surface on every maintenance
  pass. First run found 162 missing SKUs (Blackwell GPUs, X12 Ax compute,
  VMware reserved tiers, WebLogic-on-OKE, Analytics/OIC BYOL).
- oci_bom_gen.py: fix Cost % column being blank. Back-fill was gated on
  formula detection but data rows write raw numbers, so the predicate
  never matched. Now tracks data_item_rows explicitly.
- .gitea/workflows/sku-catalog-refresh.yaml: monthly automation (1st at
  09:00 UTC). Auto-refresh prices → push branch + open PR; detect new
  SKUs → open issue with labels. Gated on secrets.GITEA_TOKEN.
- kb/pricing/oci-sku-catalog.yaml: add B95714 / B95715 (Autonomous ATP
  Dedicated ECPU, LI + BYOL) — canonical SKUs for ADB-D pricing.
- kb/services/compute.yaml: add X12 family (VM.Standard4.Ax.Flex,
  BM.Standard4.Ax.120), E6.Ax and A4.Ax variants. Verified against
  docs.oracle.com computeshapes.htm. Bump last_verified + changelog.
- templates/bom-spec.yaml: document 730 hrs/month convention as default
  (= real annual billing / 12; 744 overstates by 1.92% on 12-month TCO).
- Makefile: new 'make sku-discover' target.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 11:40:53 -03:00
root
a22711c065 Update ExaCS X11M KB with authoritative datasheet figures
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Source: ADB-D X11M Datasheet v1.0 (Jan 2025), Table 1.

- Add HC storage variant (default): 80 TB usable disk/SS, 264 TB raw, 1.25 TB
  XRMEM + 27.2 TB flash cache per SS. Keep EF variant (52.5 TB usable/SS).
- Add x11m_elastic_base (2 DB + 3 SS): 240 TB total usable disk, 192 TB Max
  DB Size no-backup (what OCI Cost Estimator caps at), 96 TB with backup.
  Include performance metrics (5.6M read IOPS, 300 GB/s flash bw, etc.).
- Add x11m_base_system as distinct SKU: fixed-spec, non-expandable, 192
  ECPUs / 73 TB usable disk / 10 GbE — not the same as elastic 2+3.
- Replace misleading rack_configurations table (mixed X9M figures) with
  elastic per-server model; 'quarter/half/full rack' noted as legacy.
- Add pricing verified against OCI Cost Estimator 2026-04-23: DB and SS at
  \$2.9032/hr each; base config \$10,800/month excluding licenses.
- Add gotcha exacs_x11m_hc_vs_ef: default quotes to EF without
  justification; HC serves hot data from flash cache at same latency and
  far better \$/TB.
- Document the three distinct storage figures (Total Usable Disk vs Max DB
  Size no-backup vs with-backup) to avoid customer confusion.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 10:02:42 -03:00
root
9d5cda8986 Fix BOM workbook monthly totals
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2026-04-23 10:54:07 -03:00
root
6de2251e00 Fix slide and diagram bugs in deck/diagram generators
Service Tiering slide no longer falls back to the workload `name`
field for the tier label, which previously rendered "Bronze Bronze"
when the spec only carried tier names. Uptime/RTO/RPO now fill from
tier defaults when the spec omits them.

Architecture Principles slide enriches caller-supplied items with
name + summary from the KB when only the principle id is given,
instead of rendering bare placeholders like "P-01 P-02".

Architecture Overview slide auto-builds a two-region visual when the
proposal spec names a `dr_region` but doesn't pre-render `architecture.visual`,
so DR is no longer dropped from the deck.

Diagram generator gained a region-level `local_dr` flag that adds a
"Local DR Standby" dormant node inside the region, and now auto-wires
an "RPC (Remote Peering)" edge between DRGs when the spec defines
two or more regions with DRGs but no manual peering connection.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-23 00:35:10 -03:00
root
77298a471c Read DR region from spec + make operational_raci handler tolerant
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Architecture Overview slide was rendering the DR region with a fallback
label (e.g. "DR STANDBY" with no region name) because _adapt_flat_spec()
only consulted disaster_recovery / architecture.dr — it never looked at
the dr_region / tenancy.regions fields the MCP actually emits. The
adapter now discovers the primary and DR regions from:

- spec.primary_region / spec.region / architecture.primary_region
- spec.dr_region / spec.secondary_region / architecture.dr_region
- tenancy.regions[] entries (strings or {region, role} dicts, with role
  in {primary, hub, prod, production} vs {dr, standby, secondary,
  failover})

When both regions are known, the adapter emits an architecture.visual
with two labeled region blocks so the DR region renders with its real
name (e.g. "mx-monterrey-1 [DR STANDBY]") instead of the placeholder.
If the spec already supplies architecture.visual or diagram_path, those
are preserved instead of overwritten.

Operational RACI slide kept being skipped for payloads that passed
operational_raci in a non-canonical shape. The from_spec handler now
accepts:

- Top-level key aliases: operational_raci, raci, operations_raci
- Bare string ("fully_managed") → loads KB defaults for that model
- List of dicts → used directly as raci_items
- Dict with raci_items / items / activities and model / engagement_model
- Empty raci_items → falls back to KB defaults by model

The flat adapter also now respects a user-supplied operational_raci
instead of overwriting it with the co_managed default. Verified:
operational_raci: "fully_managed" renders the Fully-Managed RACI table
with 18 activities; bare flat MCP payload still gets the 13-activity
co_managed default.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-22 14:32:25 -03:00
root
6209907a63 Enrich MCP flat-spec adapter to emit full ECAL deck content
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Regression after the closing-slide removal surfaced a separate bug:
_adapt_flat_spec() only emitted metadata + summary + cost, so decks
generated from the MCP flat payload collapsed to 3-5 slides of title +
summary. The deck generator's ECAL sections (service_tiering,
architecture_principles, environment_catalogue, operational_raci, etc.)
all check top-level spec keys the adapter never produced.

Adapter now also emits, from the flat payload + kb/patterns defaults:
- service_tiering from services[] (preserves any tier/uptime/rto/rpo)
- architecture / architecture_principles (ECAL "always" picks)
- ha_dr tiers derived from the distinct service tiers present
- security baseline (IAM/network/database/monitoring controls)
- environment_catalogue (Prod/Pre-Prod/Dev-Test, +DR if enabled)
- operational_raci co_managed default from the KB
- next_steps skeleton

Flat MCP payload now renders 11 content slides instead of 3-5, and the
proposal-spec.yaml path (non-flat) is unchanged — still 16 slides for
examples/proposal-spec.yaml.

Also documents the new data_services SKUs in docs/bom-cookbook.md as
Recipe 4 (BDS/DS/DF) so MCP payloads can use the catalog codes directly.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-22 13:13:42 -03:00
root
fc550c14bb Drop closing blanks, honor primary_driver, catalog data-services SKUs
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- oci_deck_gen / oci_bizcase_gen: stop appending the Thank You + Oracle
  logo-only closing slides at the end of every generated deck.
- oci_bizcase_gen: Business Drivers now reads primary_driver at the
  drivers-level and at the top level, and renders natural-language values
  verbatim (only snake_case enum tokens are Title-cased). A spec-provided
  drivers.items / additional / secondary list replaces the hardcoded
  "Financial Impact of Inaction" + "Operational Impact" fallback cards.
- oci-sku-catalog.yaml: add data_services category with the four real
  Big Data Service SKUs (B91128/B91129/B91130/B93555) plus EST-DS-NOTEBOOK,
  EST-DS-MODEL, EST-DF-SPARK as estimate placeholders (OCI Data Science /
  Data Flow have no dedicated SKUs in the public pricing API — they are
  billed via the underlying compute shape).
- oci_bom_gen: resolver now prints a stderr warning and tags estimate/
  unknown line items with an explicit note; the xlsx writer renders
  "other" category items under an "Uncategorized — confirm SKUs" section
  at the end instead of silently dropping them.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-22 12:34:37 -03:00
root
490072a4b7 Accept flat-spec input aliases across generators
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Harden bizcase, bom, deck, and diagram generators to tolerate payload
shape variants (metadata/cover/summary/line_item aliases, current_state
as string, alternate pillar keys) so MCP and CLI flat specs render
consistently. Add input-alias tests per generator.

Also loosen KB governance tests to handle multi-document service YAMLs
with optional changelogs, untrack the customer demo output under
examples/output-demo-pharma-mx/ (matches .gitignore), and ship an
ADB-S vs Aurora 500GB sample deck.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-21 10:22:14 -03:00
root
bcb16795d1 Add BOM cookbook to shortcut SKU mapping for common patterns
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Codex sessions burn 10+ tool calls grepping kb/field-knowledge and the SKU
catalog to map standard requirements (ExaCS X11M BYOL, ADB-D, ADB-S + block
+ FastConnect) to the 4-5 SKUs the MCP BOM tools need. Bake the recipes
into docs/bom-cookbook.md so the LLM can skip the exploration loop for
well-known patterns, and link it from SKILL.md between Output Generation
and Knowledge Base (same progressive-disclosure pattern the other docs use).

Recipe 2 (ADB-Dedicated) explicitly calls out the infra-SKU overlap with
ExaCS — one of the specific traps the exploration loop keeps hitting.
Catalog-fallback note keeps the cookbook honest when a requirement does
not match.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 15:29:20 -03:00
root
e57ab57b48 Accept MCP flat payload in deck generator to stop silent-blank decks
generate_deck on the MCP server passes a flat spec (customer_name, title,
workload_type, services, cost_summary, ...) — but from_spec only understood
the proposal-spec YAML shape (metadata/summary/architecture/...). With no
matching keys, only the title and closing layouts rendered, both populated
with empty strings, producing a deck that looked blank.

Detect the flat shape in from_spec and adapt it into the proposal-spec
fields that the existing slide builders already consume. Title, summary
(target state + current-state bullets) and cost slides now render from
whatever the MCP tool sends; the richer proposal-spec path is untouched.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 15:27:44 -03:00
root
dc4abf3774 Install Python via apt instead of setup-python in KB health workflow
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actions/setup-python@v5 fails on the arm64 Gitea runner with "version '3.12'
with architecture 'arm64' was not found" — the prebuilt Python manifest
doesn't cover this runner/arch combo. Use the system python3 from apt; the
link-check scripts don't require 3.12 specifically.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 11:00:56 -03:00
root
01baff1f5b Ship Oracle FY26 PPTX template in repo so MCP server finds it
The 13MB template was caught by the global *.pptx ignore rule, leaving
generate_deck failing with "Template not found" in any environment that
builds from a fresh clone (MCP server container included). Whitelist it
alongside the existing sample-output exception.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 10:57:02 -03:00
root
aaf0ecc548 Add "New user? Start here" section with MCP setup instructions
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KB Health Check / check-links (push) Failing after 50s
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 12:40:24 -03:00
root
7cfb5dce2d Route skill pre-flight through Makefile to avoid hardcoded Python
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Codex users hit `python: command not found` on the welcome-flow
pre-flight because SKILL.md called `python tools/kb_freshness.py`
directly. Any hardcoded version (python/python3/python3.12) breaks
for somebody — users have 3.8, 3.10, 3.11, 3.12 in the wild.

Fix: channel all skill-initiated Python calls through `make` targets
so the Makefile's single $(PYTHON) variable (auto-detected venv >
3.12 > 3.11 > 3.10 > python3) is the only place Python resolution
lives.

- Makefile: add `kb-check` target emitting JSON for the skill pre-flight
- SKILL.md + .agents/skills/.../SKILL.md: call `make kb-check` and
  `make freshness-refresh` instead of bare `python tools/...`
- CLAUDE.md: same fix in the Welcome Flow instructions

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 12:06:15 -03:00
root
98cb570e96 Portable setup: venv, Claude Code + Codex project config
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Makes the skill work on any laptop regardless of installed Python version
or LLM harness, without per-command approval prompts or missing deps.

- Makefile: auto-detect Python (venv > 3.12 > 3.11 > 3.10 > python3)
  and new `make venv` target that picks the best Python at creation time
- .claude/settings.json: project-level Claude Code permissions
  (Write to examples/ and output/, common bash commands pre-authorized)
- .codex/config.toml: Codex sandbox config with network_access=true,
  approval_policy=never, sandbox_mode=workspace-write — fixes
  `make venv` failing with "No matching distribution" in Codex
- CLAUDE.md / AGENTS.md: document the `make venv` flow, drop all
  hardcoded python3.12 references in favor of make targets
- CLAUDE.md: add Karpathy-style coding guidelines (think before coding,
  simplicity first, surgical changes, goal-driven execution)
- .gitignore: add .venv/

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 12:03:46 -03:00
root
20be7c297e Diagram generator calibrated from 37 Oracle ref architectures + KB health tooling
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Diagram generator (oci_diagram_gen.py):
- Icon sizing calibrated: 63px target height, 45px min width (from 37 Oracle
  Architecture Center .drawio files: 12,617 cells, 234x 63x63 service icons)
- Auto-sizing: containers grow from content, never overflow (validated by script)
- DRG placed outside VCN, inside region (Oracle hub-spoke pattern)
- Gateway stacking uses _calc_service_block_h to prevent label overlap
- Edge labels: mxGeometry offset injection (15-20px away from midpoint)
- Tight icon groups: edges connect to visible icon, not invisible wide group
- VCN/subnet dash pattern corrected to "4 2", stroke to #aa643b (Oracle ref)
- jettySize=auto, dual connection merge, container=1;collapsible=0

New tools:
- scripts/validate-diagram.py: checks icon sizes, overlaps, container overflow
- tools/refresh_arch_catalog.py --check-links: HTTP HEAD check on all 123 URLs
- .gitea/workflows/kb-health.yaml: weekly link + freshness check (Mon 8am UTC)
- kb/diagram/oracle-ref-measurements.md: exact measurements from Oracle refs
- kb/CHANGELOG.md: KB change log shown in welcome banner

SKILL.md:
- Pre-flight: python→python3, silent errors, git fetch check for local users
- Changelog banner in welcome flow
- Anti-hallucination guardrails (from earlier commit, carried forward)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 09:22:33 -03:00
root
886c09ad10 Improve diagram generator: auto-sizing, DRG placement, edge labels
6 improvements based on Oracle Architecture Center reference diagrams:
1. Edge label offset — labels pushed 15px away from edge midpoint via
   mxGeometry offset injection, prevents overlap with icons
2. Auto-sizing containers — regions, VCNs, tenancy calculate dimensions
   from content instead of using fixed sizes (DR region: 540→260px)
3. jettySize=auto on all edges — clean stubs leaving/entering shapes
4. Dual connection merging — duplicate from/to pairs merged into single
   edge with combined label (e.g., dual FastConnect)
5. DRG placed OUTSIDE VCN, INSIDE region — matches Oracle ref arch
   pattern where DRG is the central hub between external and VCN
6. container=1;collapsible=0 injected into container XML styles

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 02:01:09 -03:00
root
4660b93a98 Trigger CI workflow test
All checks were successful
Deploy Skill to OCI / deploy (push) Successful in 21s
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 19:48:05 -03:00
root
9db2e59e5b Fix deploy workflow: replace rsync with tar+scp for runner compatibility
Some checks failed
Deploy Skill to OCI / deploy (push) Failing after 9s
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 19:46:13 -03:00
root
f6f355c465 Add header comment to deploy workflow (trigger CI test)
Some checks failed
Deploy Skill to OCI / deploy (push) Failing after 8s
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 19:44:41 -03:00
root
32d82df197 Add Gitea CI/CD workflow for auto-deploy to OCI on push to main
Some checks failed
Deploy Skill to OCI / deploy (push) Failing after 47s
Syncs skill files via rsync over SSH, restarts MCP containers, and waits
for healthy status. Requires OCI_SSH_KEY and OCI_HOST secrets in Gitea.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 18:13:03 -03:00
root
4e80528d1e Add anti-hallucination guardrails and structured data intake to SKILL.md
Fixes two issues: (1) diagrams adding unrequested components (EBS, WAF, Vault,
Monitoring, etc.) by replacing vague "implied dependencies" with a closed
whitelist of 6 technical dependencies and making pre-generation review mandatory
with 3 sections (REQUESTED/TECHNICAL/OPTIONAL). (2) Unstructured data consumption
by adding mandatory Extraction Receipt (CONFIRMED/INFERRED/MISSING), source
tracking in workload profiles, and completeness gate per engagement tier.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 18:02:08 -03:00
root
635863502d Fix diagram edge routing: remove elbow=vertical, add jumpStyle=arc
Root cause: elbow=vertical conflicted with orthogonalEdgeStyle + port
constraints, causing arrows to route backwards and cross content.

Changes to oci_diagram_gen.py (generic, all diagrams):
- Remove elbow=vertical from edge base style
- Use edgeStyle=orthogonalEdgeStyle explicitly in extra_style
- Add jumpStyle=arc;jumpSize=8 — crossing edges show arc, not overlap
- Remove drawpyo waypoints="orthogonal" (now controlled via extra_style
  to avoid style merging conflicts)
- Vertical edges with labels: align=left so text doesn't overlap icons
- Regression tested with PharmaCorp (dual-region) and MELI (single-region)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 14:22:52 -03:00
root
b4edc2914d Fix diagram generator: auto-port detection for clean edge routing
Edges now auto-detect exit/entry ports based on relative positions of
source and target services. Uses absolute coordinates from the layout
engine to determine whether connections should exit right→left,
top→bottom, etc.

- exitX/exitY/entryX/entryY added to every edge style
- 1.5x threshold favors vertical routing over horizontal when positions
  are diagonal — matches Oracle ref arch top-down subnet flow
- Eliminates crossing arrows in multi-subnet, multi-region diagrams
- Verified with both PharmaCorp (dual-region) and MELI (single-region)

Generic code fix — applies to all diagrams, not just this spec.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 11:03:18 -03:00
root
a0feea08bb Fix diagram generator: gateway-aware layout + edge type styling
oci_diagram_gen.py auto-layout improvements:
- Gateways now placed FIRST, vertically centered on VCN left edge
- Subnets offset RIGHT by gateway lane width to avoid overlap
- Gateway lane width auto-calculated from widest gateway + padding
- Network edges: teal color, thicker (2px) for visual hierarchy
- Internal edges: gray dashed for management connections
- Data edges: solid charcoal (unchanged, default)

These are generic code fixes — apply to any diagram spec, not just
the PharmaCorp demo. Verified with both PharmaCorp and MELI specs.

Also regenerated all PharmaCorp deliverables with prior fixes:
- Business case: PharmaCorp (was MELI), correct TCO/ROI/value schema
- BOM: verified SKUs from catalog, 45% global discount applied
- PDF: environment catalogue with new schema
- Diagram: clean layout with gateway offset

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 09:55:13 -03:00
root
214b1c518e Add opt13-bom.xlsx with 45% global discount applied
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 09:26:40 -03:00
root
8726f14512 Fix BOM: apply global discount_pct from metadata to all line items
oci_bom_gen.py from_spec now reads metadata.discount_pct as fallback
when individual line items don't specify a discount. This means
discount_pct: 0.45 in the spec metadata applies 45% to every SKU.

Previously, global discount was silently ignored — only per-item
discount fields were read (defaulting to 0.0).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 09:21:07 -03:00
root
cd718f8628 Regenerate BOM with verified SKUs (13 line items, ExaCS X11M + ADB-S + networking)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 09:16:30 -03:00
root
4d3b3507f5 Fix deliverable bugs: PDF env catalogue, business case schema, BOM SKUs, drawio
- oci_pdf_gen.py: auto-detect new env catalogue schema (name/sizing/cost_pct)
- business-case-spec.yaml: rewritten to match oci_bizcase_gen.py expected
  schema (tco.current_state/proposed_oci with annual_* fields, roi with
  three_year_roi_pct/total_investment/annual_net_benefit, value_drivers
  with category/driver/quantification, roadmap.phases, recommendation.summary)
- bom-spec.yaml: all SKUs verified against oci-sku-catalog.yaml (B110627
  B110629 B110632 for ExaCS X11M, B95703 for ADB-S BYOL, B88326 for
  FastConnect 10G, B91628 for Object Storage, B92092 for Vault)
- diagram-spec.yaml: full dual-region architecture (231 cells, 15 services)
- Now generates: PharmaCorp business case 11 slides, correct env catalogue
  in PDF, 13 SKU lines in BOM with real prices

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 01:06:00 -03:00
root
b0fcf8d0f3 Fix 3 deliverable bugs: PDF env catalogue, business case, drawio diagram
- oci_pdf_gen.py: add_environment_catalogue now auto-detects new schema
  (name/sizing/cost_pct) vs legacy (environment/tier/databases/ocpus),
  same fix as oci_deck_gen.py. Also normalizes cost_notes string to list.
- business-case-spec.yaml: created PharmaCorp spec (was using MELI).
  Fixed schema: risks as {migration_risks, do_nothing_risks}, roadmap
  as {phases, total_duration}, recommendation as {summary, next_steps}.
- diagram-spec.yaml: rewrote to match generator format
  (tenancy.regions[].vcns[].subnets[].services[] with explicit IDs).
  Now generates 231 cells, 11 containers, 15 services, 10 connections.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 00:21:26 -03:00
root
d2b153c5ce Fix empty drawio: rewrite diagram-spec to match generator format
The diagram-spec.yaml was using a flat regions/subnets format but
the generator expects tenancy.regions[].vcns[].subnets[].services[]
with explicit IDs. Rewrote with full pharma architecture:

- Queretaro (primary): Hub VCN with 4 subnets (DB, App, Public, Mgmt),
  ExaCS X11M, EBS app tier, WAF, Vault, DRG, monitoring
- Sao Paulo (DR): DR VCN with ExaCS standby, FSDR, Object Storage
- 10 connections: dual FastConnect, Data Guard, FSDR, WAF chain, RMAN

Result: 231 cells, 11 containers, 15 services, 10 connections (was empty)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 00:12:39 -03:00
root
394b821579 Fix repo links in demo deck: skill repo + MCP repo
- Skill repo: git.tech-lad.com.br/diegoecab/oci-deal-accelerator
- MCP repo: github.com/Diegoecab/arch-mcp-oracle
- Both links on Get Started slide and closing slide

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 23:42:07 -03:00
root
5a490c9375 Add MCP server slide + Get Started CTA to demo deck
- Slide 10: MCP Server — zero setup, 14 tools over HTTP, supported
  clients (Claude, Codex, Cursor, Windsurf), 1-command connection.
  "Zero Python. Zero repo cloning. SA opens IDE and starts working."
- Slide 12: Get Started — Option A (MCP, recommended), Option B
  (clone repo), link to github.com/Diegoecab/arch-mcp-oracle.
  Placeholder for final get-started link.
- Updated closing slide with MCP repo URL.
- Takeaways now include MCP as differentiator.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 23:41:09 -03:00
root
a0a862e752 Add "Why not just ChatGPT?" comparison slide to demo deck
New slide 4: side-by-side table comparing Generic LLM vs OCI Deal
Accelerator across 8 dimensions (pricing, architecture, field gotchas,
competitive, WA validation, compliance, output format, improves over
time). Red header for generic LLM, green for skill.

Key message: "The LLM is the engine. The KB + tools are the fuel.
The SA is the driver."

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 23:29:43 -03:00
root
b478718c90 Add KB-as-moat and collaborative field intelligence slides to demo deck
Two new slides replace the generic "Under the Hood":
- Slide 8: The Knowledge Base Is the Moat — 40+ YAML files of field
  knowledge, auto-refreshed pricing, 123 reference architectures,
  honest competitive mapping. Without KB = chatbot, with KB = domain expert.
- Slide 9: Self-Updating KB + Collaborative Field Intelligence —
  auto-refresh (SKU API, Arch Center crawler), collaborative model
  (findings_cli add/confirm with attribution), governance (health
  dashboard, staleness detection, domain owners).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 23:28:05 -03:00
root
41720a1c2b Regenerate demo deck with LLM-agnostic messaging and improved prompts
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 23:25:57 -03:00
root
3c88df33f8 Add demo presentation + 14 deliverables for PharmaCorp Mexico scenario
- gen_demo_deck.py: Generates 11-slide demo presentation using Oracle FY26
  template. LLM-agnostic messaging (works on Claude, Codex, GPT, Gemini).
  Before/After comparison, 14 live prompts in table format.
- examples/output-demo-pharma-mx/: Complete deliverable set for a pharma
  migration scenario (ExaCS X6 → OCI ExaCS X11M, dual-region DR, SOX).
  One file per skill option (1-14): pptx, drawio, pdf, xlsx, json, yaml.
- Improved prompts: richer discovery context (SOX compliance, dual
  FastConnect, Hub-Spoke, OCI Vault), intentionally flawed arch for WA
  review (1/23 passed), DEP field findings, ECAL gap analysis.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 23:24:35 -03:00
root
b48d155c1b CLI improvements: --json output, filters, arch-search, ecal-score, deck fixes
6 CLI improvements from MCP integration testing + deck bug fixes:

- kb_cli.py: --json on search, new arch-search and ecal-score subcommands,
  _load_yaml handles multi-document YAML (fixes health command on 32 files)
- findings_cli.py: --json on search/list/stats, filter flags on search
  (--product, --severity, --tag, --client, --status, --category)
- validate-architecture.py: --profile optional, --output defaults to stdout
- common-objections.yaml + ecal-artefacts-catalog.yaml: merge front matter
- oci_deck_gen.py: fix slide 9 cost_notes char iteration, fix slide 12
  migration field mapping (duration/milestones), dynamic phase spacing
- proposal-spec.yaml: replace real name with fictional Carlos Mendoza

All 14 skill options validated with generated deliverables.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 23:02:40 -03:00
root
ca93a0aa4e Auto-refresh KB pricing, align skill with Anthropic best practices
Why this set of changes:
- KB pricing was drifting silently — domain files (database.yaml,
  storage.yaml, etc.) had prices 30-800% off the live Oracle API and
  nobody read them. The skill was auditing as stale on every check
  with no path to fix it.
- The skill itself violated Anthropic's spec (`name` field had
  uppercase/spaces) and was over the 500-line guideline (647 lines),
  hurting discovery and load performance.
- Welcome flow occasionally improvised the menu instead of reading
  SKILL.md, missing options.

Pricing — single source of truth, fully automated:
- Extend tools/refresh_sku_catalog.py with --refresh-domain compute,
  pulls shape-level prices from the Oracle public pricing API
  (apexapps.oracle.com), preserves manual fields (notes, GPU specs,
  free-tier annotations, estimation_helpers), recomputes derived
  monthly values, and protects $0 free-tier prices from overwrite.
- Delete 12 redundant pricing/<domain>.yaml files. They duplicated
  oci-sku-catalog.yaml with worse abstractions and were nobody's
  source of truth (no tool consumed them).
- Migrate the genuinely valuable knowledge from those 12 files
  (billing models, BYOL rules, free-tier rules, ECPU vs OCPU,
  X11M elastic model, hyperscaler comparisons, service nuances)
  into kb/field-knowledge/pricing-knowledge.yaml — non-numeric,
  no refresh needed.
- Result: pricing freshness check goes from 13 stale files to 0.

KB freshness automation:
- Add tools/kb_freshness.py — wrapper around kb_linter.check_freshness()
  with --check, --auto-refresh, --json, --quiet modes. Bridges stale
  files to their refresh tools (SKU catalog, compute domain, arch
  center). Wired into the welcome flow as a pre-flight banner that
  asks the user before refreshing.
- Fix pre-existing kb_linter bug: it crashed on the 45 multi-doc
  YAML files (frontmatter + body pattern) because it used safe_load
  instead of safe_load_all. Freshness check was effectively dead.
- Standardize timestamp field: linter now accepts last_verified,
  last_updated, and last_refreshed; refresh_arch_catalog writes
  last_verified instead of last_refreshed.
- Add make freshness / make freshness-refresh targets.

Skill alignment with Anthropic Agent Skills best practices:
- Rename `name: OCI Deal Accelerator` to `oci-deal-accelerator`
  to comply with the [a-z0-9-]{1,64} spec.
- Refactor SKILL.md from 674 to 445 lines via progressive disclosure:
  extract WA review output format, ECAL readiness format, and output
  conventions into docs/skill/*.md referenced from the main file.
- Add scripts/sync-skill.py + make sync-skill: source of truth is
  root SKILL.md, .agents/skills/oci-deal-accelerator/SKILL.md is
  auto-generated. make lint validates sync.
- Add evaluations/ with 3 manual baseline scenarios (welcome-flow,
  full-proposal, wa-review) per the Anthropic best-practices guidance
  to "build evaluations first."

Welcome flow hardening:
- Tighten CLAUDE.md to MANDATE reading SKILL.md before showing the
  menu (no improvising), and document the freshness pre-flight check
  with the ask-before-refresh user flow.
- Update SKILL.md welcome flow to instruct: parse kb_freshness JSON,
  show banner with stale count + oldest file, prompt user to refresh
  (only when an automated tool exists), fall back silently on errors.

Linter hygiene (zero remaining issues):
- Expand config/kb-tags.yaml taxonomy with features, operations,
  metrics, limitations sections covering 31 previously-unknown tags
  used in field findings (rac, ecpu, refreshable-clone, hnsw, etc.).
- Assign owners for kb/compatibility/, kb/competitive/,
  kb/well-architected/ (Diego Cabrera as default until team grows);
  kb/pricing/ marked as "Auto-refreshed" since it no longer needs
  human ownership.
- kb_linter accepts top-level `date` as fallback for contributor
  block; migrate FF-202603-008 from legacy `reported_by` to
  contributor block.
- Result: linter goes from 45 issues to 0.

Other:
- Recompute estimation_helpers monthly values in compute.yaml after
  the price refresh (they were derived from the old E5/A1 numbers).
- Add kb/README.md — contributor guide (directory map, frontmatter
  spec, refresh tooling, review cadence).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-08 23:59:32 -03:00
root
69b0ccb4b8 Fix 30 KB errors: ExaCS storage 3-10x wrong, ECPU transition, IOPS limits, missing shapes
Cross-referenced all 70+ KB files against official Oracle docs. Critical fixes:
- ExaCS: storage was flash cache not usable disk (76.8→190.8 TB QR), added X11M, removed X10M
- ADB-S: OCPU→ECPU migration, 26ai as default, cross-region RTO 15→10 min
- Compute: E5 max 94→126, A2 80→78, added E6/A4/BM shapes, 11 GPU shapes
- Storage: Higher Perf IOPS 35K→50K, UHP 450K→300K, File Storage 25K→50K
- DBCS: E5.Flex max 94→64, storage 80→150 TB, added 26ai
- Networking: FastConnect +400 Gbps, NSG max 120 rules

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-01 23:59:28 -03:00