Commit Graph

4 Commits

Author SHA1 Message Date
44f6915f0c feat(status): single source of truth for the case-status model + canonicalize intermediates
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Fixes the case where the H1 chip, the pipeline stepper and the manual-changer
dropdown disagreed (e.g. 1043-02-26 on analyst_verified): the status sat between
the canonical 10 and a legacy bucket, so each surface read a different list.

Root fix — ONE authoritative status model + canonicalize the real intermediate
states (chair-approved):

- New mcp-server/.../case_status_model.py — the single registry: ordered
  StatusDef list (key/label/description/phase/selectable/terminal/on_enter),
  the 5 phases, STATUS_ORDER, phase_of/label_of, and a drift assertion that the
  CaseStatus enum matches it. `on_enter` is the seam for a status to *do*
  something on entry, declared next to its definition (no dispatcher wired yet).
- models.CaseStatus enum: analyst_verified + research_complete promoted to
  first-class canonical statuses (the agents set them — they belong in the
  model, not a legacy fallback).
- tools/cases.py: the forward-only STATUS_ORDER guard now derives from the
  registry instead of an inline list.
- GET /api/status-model exposes the model so the frontend mirror can be
  generated against it.
- web-ui case-status.ts mirrors it: the two intermediates moved from the
  legacy map into CASE_STATUSES / PHASES(thinking) / STATUS_LABELS /
  STATUS_DESCRIPTIONS; status-badge icons+tones extended. So the chip (status),
  stepper (its phase) and dropdown (now includes it) all agree.

Invariants: G2 — collapses the scattered status definitions (enum, inline
STATUS_ORDER, two frontend label maps) onto one backend authority + a documented
frontend mirror; no parallel status list remains. Agent-prompt alignment +
backfill follow in a separate change. py_compile + tsc + eslint clean.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 19:31:21 +00:00
ba542f9c21 refactor(cases): צמצום תפריט-סטטוס 17→10 + מקור-אמת יחיד (UI-B1/G2)
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G12 Leak-Guard / leak-guard (pull_request) Successful in 4s
Lint — undefined names / undefined-names (pull_request) Successful in 11s
תפריט הסטטוס-הידני הכיל 17 סטטוסים שמתוכם ~9 דקורציה טהורה — שלבי-ביניים
שאף קוד בפייפליין לא קבע ושום לוגיקה לא הסתעפה לפיהם, עם רשימות כפולות
לא-עקביות ב-6+ קבצים (UI-B1) ו-exported כסטטוס-רפאים (באג agent-audit).

הליבה (10): new, processing, documents_ready, outcome_set, direction_approved,
qa_review, drafted, exported, reviewed, final.

- SSoT חדש web-ui/src/lib/api/case-status.ts (רשימה/שלבים/תוויות/statusLabel);
  כל הצרכנים (badge/changer/timeline/guide/donut/kpi/compose) מייבאים משם.
- statusLabel() מבטיח תווית עברית תמיד — גם לערך-מורשת (נפילה עברית, לא סלאג).
- בקאנד: STATUS_ORDER 10, models.CaseStatus מיושר, set_outcome קובע
  outcome_set/direction_approved (במקום in_progress) כמו endpoint ה-web.
- exported מוקשח אחרי export-DOCX מוצלח (forward-only); widget "נכשל ב-QA"
  עודכן ל-qa_review (הסטטוס שנקבע בפועל בכשל-QA).
- scripts/backfill_case_status_trim.py: מיפוי שורות-מורשת לסטטוס-הליבה הקודם.

Invariants: UI-B1 (מקור-אמת יחיד)  · G2 (אין מסלול מקביל)  · GAP-42 (חלקי).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-17 09:47:13 +00:00
d9e5ef0f46 Add full decision writing pipeline: classify, extract, brainstorm, write, QA, export
New services (11 files):
- classifier.py: auto doc-type classification + party identification (Claude Haiku)
- claims_extractor.py: claim extraction from pleadings (Claude Sonnet + regex)
- references_extractor.py: plan/case-law/legislation detection (regex)
- brainstorm.py: direction generation with 2-3 options (Claude Sonnet)
- block_writer.py: 12-block decision writer (template + Claude Sonnet/Opus)
- docx_exporter.py: DOCX export with David font, RTL, headings
- qa_validator.py: 6 QA checks with export blocking on critical failure
- learning_loop.py: draft vs final comparison + lesson extraction
- metrics.py: KPIs dashboard per case and global
- audit.py: action audit log
- cli.py: standalone CLI with 11 commands

Updated pipeline: extract → classify → chunk → embed → store → extract_references
New MCP tools: 29 total (was 16)
New DB tables: audit_log, decisions CRUD, claims CRUD
Config: Infisical support, external service allowlist

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-03 10:21:47 +00:00
6f515dc2cb Initial commit: MCP server + web upload interface
Ezer Mishpati - AI legal decision drafting system with:
- MCP server (FastMCP) with document processing pipeline
- Web upload interface (FastAPI) for file upload and classification
- pgvector-based semantic search
- Hebrew legal document chunking and embedding
2026-03-23 12:33:07 +00:00