Add async pipeline with progress monitoring, resumability, and result transparency

Pipeline engine rewritten with combo-first loop: each combination is processed
through all requested passes before moving to the next, with incremental DB
saves after every step (crash-safe). Blocked combos now get result rows so they
appear in the results page with constraint violation reasons.

New pipeline_runs table tracks run lifecycle (pending/running/completed/failed/
cancelled). Web route launches pipeline in a background thread with its own DB
connection. HTMX polling partial shows live progress with per-pass breakdown.

Also: status guard prevents reviewed->scored downgrade, save_combination loads
existing status on dedup for correct resume, per-metric scores show domain
bounds + units + position bars, ensure_metric backfills units on existing rows.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

CLAUDE.md

@@ -0,0 +1,65 @@
+# PhysCom — Physical Combinatorics
+
+Innovation discovery engine: generate entity combinations, filter by physical constraints, score against domain-specific metrics, rank results.
+
+## Commands
+
+- **Tests**: `python -m pytest tests/ -q` (48 tests, ~3s). Run after every change.
+- **Web dev server**: `python -m physcom_web`
+- **CLI**: `python -m physcom`
+- **Seed data**: loaded automatically on first DB init (SQLite, `physcom.db` or `$PHYSCOM_DB`)
+
+## Architecture
+
+```
+src/physcom/               # Core library (no web dependency)
+  models/                  # Dataclasses: Entity, Dependency, Combination, Domain, MetricBound
+  db/schema.py             # DDL (all CREATE TABLE statements)
+  db/repository.py         # All DB access — single Repository class, sqlite3 row_factory=Row
+  engine/combinator.py     # Cartesian product of entities across dimensions
+  engine/constraint_resolver.py  # Pass 1: requires/excludes/mutex/range/force checks
+  engine/scorer.py         # Pass 3: log-normalize raw→0-1, weighted geometric mean composite
+  engine/pipeline.py       # Orchestrator: combo-first loop, incremental saves, resume, cancel
+  llm/base.py              # LLMProvider ABC (estimate_physics, review_plausibility)
+  llm/providers/mock.py    # MockLLMProvider for tests
+  seed/transport_example.py  # 9 platforms + 9 power sources, 2 domains
+
+src/physcom_web/           # Flask web UI
+  app.py                   # App factory, get_repo(), DB path resolution
+  routes/pipeline.py       # Background thread pipeline execution, HTMX status/cancel endpoints
+  routes/results.py        # Results browse, detail view, human review submission
+  routes/entities.py       # Entity CRUD
+  routes/domains.py        # Domain listing
+  templates/               # Jinja2, extends base.html, uses HTMX for polling
+  static/style.css         # Single stylesheet
+
+tests/                     # pytest, uses seeded_repo fixture from conftest.py
+```
+
+## Key patterns
+
+- **Repository is the only DB interface.** No raw SQL outside `repository.py`.
+- **Pipeline is combo-first**: each combo goes through all requested passes before the next combo starts. Progress is persisted per-combo (crash-safe, resumable).
+- **`pipeline_runs` table** tracks run lifecycle: pending → running → completed/failed/cancelled. The web route creates the record, then starts a background thread with its own `sqlite3.Connection`.
+- **`combination_results`** has rows for ALL combos including blocked ones (pass_reached=1, composite_score=0.0). Scored combos get pass_reached=3+.
+- **Status guard**: `update_combination_status` refuses to downgrade `reviewed` → `scored`.
+- **`save_combination`** loads existing status/block_reason on dedup (important for resume).
+- **`ensure_metric`** backfills unit if the row already exists with an empty unit.
+- **MetricBound** carries `unit` — flows through seed → ensure_metric → metrics table → get_combination_scores → template display.
+- **HTMX polling**: `_run_status.html` partial polls every 2s while run is pending/running; stops polling when terminal.
+
+## Data flow (pipeline passes)
+
+1. **Pass 1 — Constraints**: `ConstraintResolver.resolve()` → blocked/conditional/valid. Blocked combos get a result row and `continue`.
+2. **Pass 2 — Estimation**: LLM or `_stub_estimate()` → raw metric values. Saved immediately via `save_raw_estimates()` (normalized_score=NULL).
+3. **Pass 3 — Scoring**: `Scorer.score_combination()` → log-normalized scores + weighted geometric mean composite. Saves via `save_scores()` + `save_result()`.
+4. **Pass 4 — LLM Review**: Only for above-threshold combos with an LLM provider.
+5. **Pass 5 — Human Review**: Manual via web UI results page.
+
+## Conventions
+
+- Python 3.11+, `from __future__ import annotations` everywhere.
+- Dataclasses for models, no ORM.
+- Tests use `seeded_repo` fixture (in-memory SQLite with transport seed data).
+- Don't use `cd` in Bash commands — run from the working directory so pre-approved permission patterns match.
+- Don't add docstrings/comments/type annotations to code you didn't change.

src/physcom/db/repository.py

@@ -3,7 +3,9 @@
 from __future__ import annotations
 
 import hashlib
+import json
 import sqlite3
+from datetime import datetime, timezone
 from typing import Sequence
 
 from physcom.models.entity import Dependency, Entity
@@ -170,6 +172,11 @@ class Repository:
             "INSERT OR IGNORE INTO metrics (name, unit, description) VALUES (?, ?, ?)",
             (name, unit, description),
         )
+        if unit:
+            self.conn.execute(
+                "UPDATE metrics SET unit = ? WHERE name = ? AND (unit IS NULL OR unit = '')",
+                (unit, name),
+            )
         row = self.conn.execute("SELECT id FROM metrics WHERE name = ?", (name,)).fetchone()
         self.conn.commit()
         return row["id"]
@@ -181,7 +188,7 @@ class Repository:
         )
         domain.id = cur.lastrowid
         for mb in domain.metric_bounds:
-            metric_id = self.ensure_metric(mb.metric_name)
+            metric_id = self.ensure_metric(mb.metric_name, unit=mb.unit)
             mb.metric_id = metric_id
             self.conn.execute(
                 """INSERT INTO domain_metric_weights
@@ -233,10 +240,13 @@ class Repository:
         combination.hash = self.compute_hash(entity_ids)
 
         existing = self.conn.execute(
-            "SELECT id FROM combinations WHERE hash = ?", (combination.hash,)
+            "SELECT id, status, block_reason FROM combinations WHERE hash = ?",
+            (combination.hash,),
         ).fetchone()
         if existing:
             combination.id = existing["id"]
+            combination.status = existing["status"]
+            combination.block_reason = existing["block_reason"]
             return combination
 
         cur = self.conn.execute(
@@ -255,6 +265,13 @@ class Repository:
     def update_combination_status(
         self, combo_id: int, status: str, block_reason: str | None = None
     ) -> None:
+        # Don't downgrade 'reviewed' to 'scored' — preserve human review state
+        if status == "scored":
+            row = self.conn.execute(
+                "SELECT status FROM combinations WHERE id = ?", (combo_id,)
+            ).fetchone()
+            if row and row["status"] == "reviewed":
+                return
         self.conn.execute(
             "UPDATE combinations SET status = ?, block_reason = ? WHERE id = ?",
             (status, block_reason, combo_id),
@@ -327,7 +344,7 @@ class Repository:
     def get_combination_scores(self, combo_id: int, domain_id: int) -> list[dict]:
         """Return per-metric scores for a combination in a domain."""
         rows = self.conn.execute(
-            """SELECT cs.*, m.name as metric_name
+            """SELECT cs.*, m.name as metric_name, m.unit as metric_unit
                FROM combination_scores cs
                JOIN metrics m ON cs.metric_id = m.id
                WHERE cs.combination_id = ? AND cs.domain_id = ?""",
@@ -335,12 +352,52 @@ class Repository:
         ).fetchall()
         return [dict(r) for r in rows]
 
-    def count_combinations_by_status(self) -> dict[str, int]:
+    def count_combinations_by_status(self, domain_name: str | None = None) -> dict[str, int]:
+        """Count combos by status. If domain_name given, only combos with results in that domain."""
+        if domain_name:
+            rows = self.conn.execute(
+                """SELECT c.status, COUNT(*) as cnt
+                   FROM combination_results cr
+                   JOIN combinations c ON cr.combination_id = c.id
+                   JOIN domains d ON cr.domain_id = d.id
+                   WHERE d.name = ?
+                   GROUP BY c.status""",
+                (domain_name,),
+            ).fetchall()
+        else:
             rows = self.conn.execute(
                 "SELECT status, COUNT(*) as cnt FROM combinations GROUP BY status"
             ).fetchall()
         return {r["status"]: r["cnt"] for r in rows}
 
+    def get_pipeline_summary(self, domain_name: str) -> dict | None:
+        """Return a summary of results for a domain, or None if no results."""
+        row = self.conn.execute(
+            """SELECT COUNT(*) as total,
+                      AVG(cr.composite_score) as avg_score,
+                      MAX(cr.composite_score) as max_score,
+                      MIN(cr.composite_score) as min_score,
+                      MAX(cr.pass_reached) as last_pass
+               FROM combination_results cr
+               JOIN domains d ON cr.domain_id = d.id
+               WHERE d.name = ?""",
+            (domain_name,),
+        ).fetchone()
+        if not row or row["total"] == 0:
+            return None
+        # Also count blocked combos (they have no results but exist)
+        blocked = self.conn.execute(
+            "SELECT COUNT(*) as cnt FROM combinations WHERE status = 'blocked'"
+        ).fetchone()
+        return {
+            "total_results": row["total"],
+            "avg_score": row["avg_score"],
+            "max_score": row["max_score"],
+            "min_score": row["min_score"],
+            "last_pass": row["last_pass"],
+            "blocked": blocked["cnt"] if blocked else 0,
+        }
+
     def get_result(self, combo_id: int, domain_id: int) -> dict | None:
         """Return a single combination_result row."""
         row = self.conn.execute(
@@ -412,3 +469,88 @@ class Repository:
                 "pass_reached": r["pass_reached"],
             })
         return results
+
+    # ── Pipeline Runs ────────────────────────────────────────
+
+    def create_pipeline_run(self, domain_id: int, config: dict) -> int:
+        """Create a new pipeline_run record. Returns the run id."""
+        cur = self.conn.execute(
+            """INSERT INTO pipeline_runs (domain_id, status, config, created_at)
+               VALUES (?, 'pending', ?, ?)""",
+            (domain_id, json.dumps(config), datetime.now(timezone.utc).isoformat()),
+        )
+        self.conn.commit()
+        return cur.lastrowid
+
+    def update_pipeline_run(self, run_id: int, **fields) -> None:
+        """Update arbitrary fields on a pipeline_run."""
+        if not fields:
+            return
+        set_clause = ", ".join(f"{k} = ?" for k in fields)
+        values = list(fields.values())
+        values.append(run_id)
+        self.conn.execute(
+            f"UPDATE pipeline_runs SET {set_clause} WHERE id = ?", values
+        )
+        self.conn.commit()
+
+    def get_pipeline_run(self, run_id: int) -> dict | None:
+        row = self.conn.execute(
+            "SELECT * FROM pipeline_runs WHERE id = ?", (run_id,)
+        ).fetchone()
+        return dict(row) if row else None
+
+    def list_pipeline_runs(self, domain_id: int | None = None) -> list[dict]:
+        if domain_id is not None:
+            rows = self.conn.execute(
+                """SELECT pr.*, d.name as domain_name
+                   FROM pipeline_runs pr
+                   JOIN domains d ON pr.domain_id = d.id
+                   WHERE pr.domain_id = ?
+                   ORDER BY pr.created_at DESC""",
+                (domain_id,),
+            ).fetchall()
+        else:
+            rows = self.conn.execute(
+                """SELECT pr.*, d.name as domain_name
+                   FROM pipeline_runs pr
+                   JOIN domains d ON pr.domain_id = d.id
+                   ORDER BY pr.created_at DESC"""
+            ).fetchall()
+        return [dict(r) for r in rows]
+
+    def get_combo_pass_reached(self, combo_id: int, domain_id: int) -> int | None:
+        """Return the pass_reached for a combo in a domain, or None if no result."""
+        row = self.conn.execute(
+            """SELECT pass_reached FROM combination_results
+               WHERE combination_id = ? AND domain_id = ?""",
+            (combo_id, domain_id),
+        ).fetchone()
+        return row["pass_reached"] if row else None
+
+    def save_raw_estimates(
+        self, combo_id: int, domain_id: int, estimates: list[dict]
+    ) -> None:
+        """Save raw metric estimates (pass 2) with normalized_score=NULL.
+
+        Each dict: metric_id, raw_value, estimation_method, confidence.
+        """
+        for e in estimates:
+            self.conn.execute(
+                """INSERT OR REPLACE INTO combination_scores
+                   (combination_id, domain_id, metric_id, raw_value, normalized_score,
+                    estimation_method, confidence)
+                   VALUES (?, ?, ?, ?, NULL, ?, ?)""",
+                (combo_id, domain_id, e["metric_id"], e["raw_value"],
+                 e["estimation_method"], e["confidence"]),
+            )
+        self.conn.commit()
+
+    def get_existing_result(self, combo_id: int, domain_id: int) -> dict | None:
+        """Return the full combination_results row for resume logic."""
+        row = self.conn.execute(
+            """SELECT * FROM combination_results
+               WHERE combination_id = ? AND domain_id = ?""",
+            (combo_id, domain_id),
+        ).fetchone()
+        return dict(row) if row else None

src/physcom/db/schema.py

@@ -91,11 +91,29 @@ CREATE TABLE IF NOT EXISTS combination_results (
     UNIQUE(combination_id, domain_id)
 );
 
+CREATE TABLE IF NOT EXISTS pipeline_runs (
+    id              INTEGER PRIMARY KEY AUTOINCREMENT,
+    domain_id       INTEGER NOT NULL REFERENCES domains(id),
+    status          TEXT NOT NULL DEFAULT 'pending',
+    config          TEXT,
+    total_combos    INTEGER DEFAULT 0,
+    combos_pass1    INTEGER DEFAULT 0,
+    combos_pass2    INTEGER DEFAULT 0,
+    combos_pass3    INTEGER DEFAULT 0,
+    combos_pass4    INTEGER DEFAULT 0,
+    current_pass    INTEGER,
+    error_message   TEXT,
+    started_at      TIMESTAMP,
+    completed_at    TIMESTAMP,
+    created_at      TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+);
+
 CREATE INDEX IF NOT EXISTS idx_deps_entity ON dependencies(entity_id);
 CREATE INDEX IF NOT EXISTS idx_deps_category_key ON dependencies(category, key);
 CREATE INDEX IF NOT EXISTS idx_combo_status ON combinations(status);
 CREATE INDEX IF NOT EXISTS idx_scores_combo_domain ON combination_scores(combination_id, domain_id);
 CREATE INDEX IF NOT EXISTS idx_results_domain_score ON combination_results(domain_id, composite_score DESC);
+CREATE INDEX IF NOT EXISTS idx_pipeline_runs_domain ON pipeline_runs(domain_id);
 """
 
 

src/physcom/engine/pipeline.py

@@ -1,15 +1,15 @@
-"""Multi-pass pipeline orchestrator."""
+"""Multi-pass pipeline orchestrator with incremental saves and resumability."""
 
 from __future__ import annotations
 
 from dataclasses import dataclass, field
+from datetime import datetime, timezone
 
 from physcom.db.repository import Repository
 from physcom.engine.combinator import generate_combinations
 from physcom.engine.constraint_resolver import ConstraintResolver, ConstraintResult
 from physcom.engine.scorer import Scorer
 from physcom.llm.base import LLMProvider
-from physcom.llm.prompts import PHYSICS_ESTIMATION_PROMPT, PLAUSIBILITY_REVIEW_PROMPT
 from physcom.models.combination import Combination, ScoredResult
 from physcom.models.domain import Domain
 
@@ -23,12 +23,17 @@ class PipelineResult:
     pass1_blocked: int = 0
     pass1_conditional: int = 0
     pass2_estimated: int = 0
+    pass3_scored: int = 0
     pass3_above_threshold: int = 0
     pass4_reviewed: int = 0
     pass5_human_reviewed: int = 0
     top_results: list[dict] = field(default_factory=list)
 
 
+class CancelledError(Exception):
+    """Raised when a pipeline run is cancelled."""
+
+
 def _describe_combination(combo: Combination) -> str:
     """Build a natural-language description of a combination."""
     parts = [f"{e.dimension}: {e.name}" for e in combo.entities]
@@ -53,71 +58,88 @@ class Pipeline:
         self.scorer = scorer
         self.llm = llm
 
+    def _check_cancelled(self, run_id: int | None) -> None:
+        """Raise CancelledError if the run has been cancelled."""
+        if run_id is None:
+            return
+        run = self.repo.get_pipeline_run(run_id)
+        if run and run["status"] == "cancelled":
+            raise CancelledError("Pipeline run cancelled")
+
+    def _update_run_counters(
+        self, run_id: int | None, result: PipelineResult, current_pass: int
+    ) -> None:
+        """Update pipeline_run progress counters in the DB."""
+        if run_id is None:
+            return
+        self.repo.update_pipeline_run(
+            run_id,
+            combos_pass1=result.pass1_valid
+            + result.pass1_conditional
+            + result.pass1_blocked,
+            combos_pass2=result.pass2_estimated,
+            combos_pass3=result.pass3_scored,
+            combos_pass4=result.pass4_reviewed,
+            current_pass=current_pass,
+        )
+
     def run(
         self,
         domain: Domain,
         dimensions: list[str],
         score_threshold: float = 0.1,
         passes: list[int] | None = None,
+        run_id: int | None = None,
     ) -> PipelineResult:
         if passes is None:
             passes = [1, 2, 3, 4, 5]
 
         result = PipelineResult()
 
+        # Mark run as running (unless already cancelled)
+        if run_id is not None:
+            run_record = self.repo.get_pipeline_run(run_id)
+            if run_record and run_record["status"] == "cancelled":
+                result.top_results = self.repo.get_top_results(domain.name, limit=20)
+                return result
+            self.repo.update_pipeline_run(
+                run_id,
+                status="running",
+                started_at=datetime.now(timezone.utc).isoformat(),
+            )
+
         # Generate all combinations
         combos = generate_combinations(self.repo, dimensions)
         result.total_generated = len(combos)
 
-        # Save all combinations to DB
+        # Save all combinations to DB (also loads status for existing combos)
         for combo in combos:
             self.repo.save_combination(combo)
 
-        # ── Pass 1: Constraint Resolution ───────────────────────
-        valid_combos: list[Combination] = []
-        if 1 in passes:
-            valid_combos = self._pass1_constraints(combos, result)
-        else:
-            valid_combos = combos
+        if run_id is not None:
+            self.repo.update_pipeline_run(run_id, total_combos=len(combos))
 
-        # ── Pass 2: Physics Estimation ──────────────────────────
-        estimated: list[tuple[Combination, dict[str, float]]] = []
-        if 2 in passes:
-            estimated = self._pass2_estimation(valid_combos, domain, result)
-        else:
-            # Skip estimation, use zeros
-            estimated = [(c, {}) for c in valid_combos]
+        # Prepare metric lookup
+        metric_names = [mb.metric_name for mb in domain.metric_bounds]
+        bounds_by_name = {mb.metric_name: mb for mb in domain.metric_bounds}
 
-        # ── Pass 3: Scoring & Ranking ───────────────────────────
-        scored: list[tuple[Combination, ScoredResult]] = []
-        if 3 in passes:
-            scored = self._pass3_scoring(estimated, domain, score_threshold, result)
-
-        # ── Pass 4: LLM Review ──────────────────────────────────
-        if 4 in passes and self.llm:
-            self._pass4_llm_review(scored, domain, result)
-
-        # ── Save results after scoring ─────────────────────────
-        if 3 in passes:
-            max_pass = max(p for p in passes if p <= 5)
-            for combo, sr in scored:
-                self.repo.save_result(
-                    combo.id, domain.id, sr.composite_score,
-                    pass_reached=max_pass,
-                    novelty_flag=sr.novelty_flag,
-                    llm_review=sr.llm_review,
-                )
-                self.repo.update_combination_status(combo.id, "scored")
-
-        # Collect top results
-        result.top_results = self.repo.get_top_results(domain.name, limit=20)
-        return result
-
-    def _pass1_constraints(
-        self, combos: list[Combination], result: PipelineResult
-    ) -> list[Combination]:
-        valid = []
+        # ── Combo-first loop ─────────────────────────────────────
+        try:
             for combo in combos:
+                self._check_cancelled(run_id)
+
+                # Check existing progress for this combo in this domain
+                existing_pass = self.repo.get_combo_pass_reached(
+                    combo.id, domain.id
+                ) or 0
+
+                # Load existing result to preserve human review data
+                existing_result = self.repo.get_existing_result(
+                    combo.id, domain.id
+                )
+
+                # ── Pass 1: Constraint Resolution ────────────────
+                if 1 in passes and existing_pass < 1:
                     cr: ConstraintResult = self.resolver.resolve(combo)
                     if cr.status == "blocked":
                         combo.status = "blocked"
@@ -125,56 +147,87 @@ class Pipeline:
                         self.repo.update_combination_status(
                             combo.id, "blocked", combo.block_reason
                         )
+                        # Save a result row so blocked combos appear in results
+                        self.repo.save_result(
+                            combo.id,
+                            domain.id,
+                            composite_score=0.0,
+                            pass_reached=1,
+                        )
                         result.pass1_blocked += 1
+                        self._update_run_counters(run_id, result, current_pass=1)
+                        continue  # blocked — skip remaining passes
                     elif cr.status == "conditional":
                         combo.status = "valid"
                         self.repo.update_combination_status(combo.id, "valid")
-                valid.append(combo)
                         result.pass1_conditional += 1
                     else:
                         combo.status = "valid"
                         self.repo.update_combination_status(combo.id, "valid")
-                valid.append(combo)
                         result.pass1_valid += 1
-        return valid
 
-    def _pass2_estimation(
-        self,
-        combos: list[Combination],
-        domain: Domain,
-        result: PipelineResult,
-    ) -> list[tuple[Combination, dict[str, float]]]:
-        metric_names = [mb.metric_name for mb in domain.metric_bounds]
-        estimated = []
+                    self._update_run_counters(run_id, result, current_pass=1)
+                elif 1 in passes:
+                    # Already pass1'd — check if it was blocked
+                    if combo.status == "blocked":
+                        result.pass1_blocked += 1
+                        continue
+                    else:
+                        result.pass1_valid += 1
+                else:
+                    # Pass 1 not requested; check if blocked from a prior run
+                    if combo.status == "blocked":
+                        result.pass1_blocked += 1
+                        continue
 
-        for combo in combos:
+                # ── Pass 2: Physics Estimation ───────────────────
+                raw_metrics: dict[str, float] = {}
+                if 2 in passes and existing_pass < 2:
                     description = _describe_combination(combo)
                     if self.llm:
-                raw_metrics = self.llm.estimate_physics(description, metric_names)
+                        raw_metrics = self.llm.estimate_physics(
+                            description, metric_names
+                        )
                     else:
-                # Stub estimation: derive from dependencies where possible
                         raw_metrics = self._stub_estimate(combo, metric_names)
-            estimated.append((combo, raw_metrics))
+
+                    # Save raw estimates immediately (crash-safe)
+                    estimate_dicts = []
+                    for mname, rval in raw_metrics.items():
+                        mb = bounds_by_name.get(mname)
+                        if mb and mb.metric_id:
+                            estimate_dicts.append({
+                                "metric_id": mb.metric_id,
+                                "raw_value": rval,
+                                "estimation_method": "llm" if self.llm else "stub",
+                                "confidence": 1.0,
+                            })
+                    if estimate_dicts:
+                        self.repo.save_raw_estimates(
+                            combo.id, domain.id, estimate_dicts
+                        )
+
                     result.pass2_estimated += 1
+                    self._update_run_counters(run_id, result, current_pass=2)
+                elif 2 in passes:
+                    # Already estimated — reload raw values from DB
+                    existing_scores = self.repo.get_combination_scores(
+                        combo.id, domain.id
+                    )
+                    raw_metrics = {
+                        s["metric_name"]: s["raw_value"] for s in existing_scores
+                    }
+                    result.pass2_estimated += 1
+                else:
+                    # Pass 2 not requested, use empty metrics
+                    raw_metrics = {}
 
-        return estimated
-
-    def _pass3_scoring(
-        self,
-        estimated: list[tuple[Combination, dict[str, float]]],
-        domain: Domain,
-        threshold: float,
-        result: PipelineResult,
-    ) -> list[tuple[Combination, ScoredResult]]:
-        scored = []
-        for combo, raw_metrics in estimated:
+                # ── Pass 3: Scoring & Ranking ────────────────────
+                if 3 in passes and existing_pass < 3:
                     sr = self.scorer.score_combination(combo, raw_metrics)
-            if sr.composite_score >= threshold:
-                scored.append((combo, sr))
-                result.pass3_above_threshold += 1
-                # Persist per-metric scores
+
+                    # Persist per-metric scores with normalized values
                     score_dicts = []
-                bounds_by_name = {mb.metric_name: mb for mb in domain.metric_bounds}
                     for s in sr.scores:
                         mb = bounds_by_name.get(s.metric_name)
                         if mb and mb.metric_id:
@@ -188,22 +241,97 @@ class Pipeline:
                     if score_dicts:
                         self.repo.save_scores(combo.id, domain.id, score_dicts)
 
-        # Sort by composite score descending
-        scored.sort(key=lambda x: x[1].composite_score, reverse=True)
-        return scored
+                    # Preserve existing human data
+                    novelty_flag = (
+                        existing_result["novelty_flag"] if existing_result else None
+                    )
+                    human_notes = (
+                        existing_result["human_notes"] if existing_result else None
+                    )
 
-    def _pass4_llm_review(
-        self,
-        scored: list[tuple[Combination, ScoredResult]],
-        domain: Domain,
-        result: PipelineResult,
-    ) -> None:
-        for combo, sr in scored:
+                    self.repo.save_result(
+                        combo.id,
+                        domain.id,
+                        sr.composite_score,
+                        pass_reached=3,
+                        novelty_flag=novelty_flag,
+                        human_notes=human_notes,
+                    )
+                    self.repo.update_combination_status(combo.id, "scored")
+
+                    result.pass3_scored += 1
+                    if sr.composite_score >= score_threshold:
+                        result.pass3_above_threshold += 1
+
+                    self._update_run_counters(run_id, result, current_pass=3)
+                elif 3 in passes and existing_pass >= 3:
+                    # Already scored — count it
+                    result.pass3_scored += 1
+                    if existing_result and existing_result["composite_score"] is not None:
+                        if existing_result["composite_score"] >= score_threshold:
+                            result.pass3_above_threshold += 1
+
+                # ── Pass 4: LLM Review ───────────────────────────
+                if 4 in passes and self.llm:
+                    cur_pass = self.repo.get_combo_pass_reached(
+                        combo.id, domain.id
+                    ) or 0
+                    if cur_pass < 4:
+                        cur_result = self.repo.get_existing_result(
+                            combo.id, domain.id
+                        )
+                        if (
+                            cur_result
+                            and cur_result["composite_score"] is not None
+                            and cur_result["composite_score"] >= score_threshold
+                        ):
                             description = _describe_combination(combo)
-            score_dict = {s.metric_name: s.normalized_score for s in sr.scores}
-            review = self.llm.review_plausibility(description, score_dict)
-            sr.llm_review = review
+                            db_scores = self.repo.get_combination_scores(
+                                combo.id, domain.id
+                            )
+                            score_dict = {
+                                s["metric_name"]: s["normalized_score"]
+                                for s in db_scores
+                                if s["normalized_score"] is not None
+                            }
+                            review = self.llm.review_plausibility(
+                                description, score_dict
+                            )
+
+                            self.repo.save_result(
+                                combo.id,
+                                domain.id,
+                                cur_result["composite_score"],
+                                pass_reached=4,
+                                novelty_flag=cur_result.get("novelty_flag"),
+                                llm_review=review,
+                                human_notes=cur_result.get("human_notes"),
+                            )
                             result.pass4_reviewed += 1
+                            self._update_run_counters(
+                                run_id, result, current_pass=4
+                            )
+
+        except CancelledError:
+            if run_id is not None:
+                self.repo.update_pipeline_run(
+                    run_id,
+                    status="cancelled",
+                    completed_at=datetime.now(timezone.utc).isoformat(),
+                )
+            result.top_results = self.repo.get_top_results(domain.name, limit=20)
+            return result
+
+        # Mark run as completed
+        if run_id is not None:
+            self.repo.update_pipeline_run(
+                run_id,
+                status="completed",
+                completed_at=datetime.now(timezone.utc).isoformat(),
+            )
+
+        result.top_results = self.repo.get_top_results(domain.name, limit=20)
+        return result
 
     def _stub_estimate(
         self, combo: Combination, metric_names: list[str]
@@ -223,24 +351,21 @@ class Pipeline:
 
         # Rough speed estimate: F=ma -> v proportional to power/mass
         if "speed" in raw and mass_kg > 0:
-            # Very rough: speed ~ power / (mass * drag_coeff)
             raw["speed"] = min(force_watts / mass_kg * 0.5, 300000)
 
         if "cost_efficiency" in raw:
-            # Lower force = cheaper per km (roughly)
             raw["cost_efficiency"] = max(0.01, 2.0 - force_watts / 100000)
 
         if "safety" in raw:
-            raw["safety"] = 0.5  # default mid-range
+            raw["safety"] = 0.5
 
         if "availability" in raw:
             raw["availability"] = 0.5
 
         if "range_fuel" in raw:
-            # More power = more range (very rough)
             raw["range_fuel"] = min(force_watts * 0.01, 1e10)
 
         if "range_degradation" in raw:
-            raw["range_degradation"] = 365  # 1 year default
+            raw["range_degradation"] = 365
 
         return raw

src/physcom/models/domain.py

@@ -13,6 +13,7 @@ class MetricBound:
     weight: float  # 0.0–1.0
     norm_min: float  # Below this → score 0
     norm_max: float  # Above this → score 1
+    unit: str = ""
     metric_id: int | None = None
 
 

src/physcom/seed/transport_example.py

@@ -243,11 +243,11 @@ URBAN_COMMUTING = Domain(
     name="urban_commuting",
     description="Daily travel within a city, 1-50km range",
     metric_bounds=[
-        MetricBound("speed", weight=0.25, norm_min=5, norm_max=120),
-        MetricBound("cost_efficiency", weight=0.25, norm_min=0.01, norm_max=2.0),
-        MetricBound("safety", weight=0.25, norm_min=0.0, norm_max=1.0),
-        MetricBound("availability", weight=0.15, norm_min=0.0, norm_max=1.0),
-        MetricBound("range_fuel", weight=0.10, norm_min=5, norm_max=500),
+        MetricBound("speed", weight=0.25, norm_min=5, norm_max=120, unit="km/h"),
+        MetricBound("cost_efficiency", weight=0.25, norm_min=0.01, norm_max=2.0, unit="$/km"),
+        MetricBound("safety", weight=0.25, norm_min=0.0, norm_max=1.0, unit="0-1"),
+        MetricBound("availability", weight=0.15, norm_min=0.0, norm_max=1.0, unit="0-1"),
+        MetricBound("range_fuel", weight=0.10, norm_min=5, norm_max=500, unit="km"),
     ],
 )
 
@@ -255,11 +255,11 @@ INTERPLANETARY = Domain(
     name="interplanetary_travel",
     description="Travel between planets within a solar system",
     metric_bounds=[
-        MetricBound("speed", weight=0.30, norm_min=1000, norm_max=300000),
-        MetricBound("range_fuel", weight=0.30, norm_min=1e6, norm_max=1e10),
-        MetricBound("safety", weight=0.20, norm_min=0.0, norm_max=1.0),
-        MetricBound("cost_efficiency", weight=0.10, norm_min=1e3, norm_max=1e9),
-        MetricBound("range_degradation", weight=0.10, norm_min=100, norm_max=36500),
+        MetricBound("speed", weight=0.30, norm_min=1000, norm_max=300000, unit="km/s"),
+        MetricBound("range_fuel", weight=0.30, norm_min=1e6, norm_max=1e10, unit="km"),
+        MetricBound("safety", weight=0.20, norm_min=0.0, norm_max=1.0, unit="0-1"),
+        MetricBound("cost_efficiency", weight=0.10, norm_min=1e3, norm_max=1e9, unit="$/km"),
+        MetricBound("range_degradation", weight=0.10, norm_min=100, norm_max=36500, unit="days"),
     ],
 )
 

src/physcom_web/routes/entities.py

@@ -40,18 +40,8 @@ def entity_new():
                            dimensions=repo.list_dimensions())
 
 
-@bp.route("/<int:entity_id>")
+@bp.route("/<int:entity_id>", methods=["GET", "POST"])
 def entity_detail(entity_id: int):
-    repo = get_repo()
-    entity = repo.get_entity(entity_id)
-    if not entity:
-        flash("Entity not found.", "error")
-        return redirect(url_for("entities.entity_list"))
-    return render_template("entities/detail.html", entity=entity)
-
-
-@bp.route("/<int:entity_id>/edit", methods=["GET", "POST"])
-def entity_edit(entity_id: int):
     repo = get_repo()
     entity = repo.get_entity(entity_id)
     if not entity:
@@ -62,13 +52,17 @@ def entity_edit(entity_id: int):
         description = request.form.get("description", "").strip()
         if not name:
             flash("Name is required.", "error")
-            return render_template("entities/form.html", entity=entity,
-                                   dimensions=repo.list_dimensions())
+        else:
             repo.update_entity(entity_id, name, description)
             flash(f"Entity '{name}' updated.", "success")
+            entity = repo.get_entity(entity_id)
+    return render_template("entities/detail.html", entity=entity)
+
+
+@bp.route("/<int:entity_id>/edit")
+def entity_edit(entity_id: int):
+    """Legacy route — redirect to detail page."""
     return redirect(url_for("entities.entity_detail", entity_id=entity_id))
-    return render_template("entities/form.html", entity=entity,
-                           dimensions=repo.list_dimensions())
 
 
 @bp.route("/<int:entity_id>/delete", methods=["POST"])

src/physcom_web/routes/pipeline.py

@@ -1,7 +1,12 @@
-"""Pipeline run routes."""
+"""Pipeline run routes with background execution and progress monitoring."""
 
 from __future__ import annotations
 
+import json
+import os
+import threading
+from pathlib import Path
+
 from flask import Blueprint, flash, redirect, render_template, request, url_for
 
 from physcom_web.app import get_repo
@@ -9,12 +14,77 @@ from physcom_web.app import get_repo
 bp = Blueprint("pipeline", __name__, url_prefix="/pipeline")
 
 
+def _run_pipeline_in_background(
+    db_path: str,
+    domain_name: str,
+    dim_list: list[str],
+    passes: list[int],
+    threshold: float,
+    run_id: int,
+) -> None:
+    """Run the pipeline in a background thread with its own DB connection."""
+    from physcom.db.schema import init_db
+    from physcom.db.repository import Repository
+    from physcom.engine.constraint_resolver import ConstraintResolver
+    from physcom.engine.scorer import Scorer
+    from physcom.engine.pipeline import Pipeline
+
+    try:
+        conn = init_db(db_path)
+        repo = Repository(conn)
+
+        domain = repo.get_domain(domain_name)
+        if not domain:
+            repo.update_pipeline_run(
+                run_id, status="failed",
+                error_message=f"Domain '{domain_name}' not found",
+            )
+            conn.close()
+            return
+
+        resolver = ConstraintResolver()
+        scorer = Scorer(domain)
+        pipeline = Pipeline(repo, resolver, scorer, llm=None)
+
+        pipeline.run(
+            domain, dim_list,
+            score_threshold=threshold,
+            passes=passes,
+            run_id=run_id,
+        )
+    except Exception as exc:
+        try:
+            repo.update_pipeline_run(
+                run_id, status="failed",
+                error_message=str(exc)[:500],
+            )
+        except Exception:
+            pass
+    finally:
+        try:
+            conn.close()
+        except Exception:
+            pass
+
+
 @bp.route("/")
 def pipeline_form():
     repo = get_repo()
     domains = repo.list_domains()
     dimensions = repo.list_dimensions()
-    return render_template("pipeline/run.html", domains=domains, dimensions=dimensions)
+    # Build per-domain summaries
+    summaries = {}
+    for d in domains:
+        summaries[d.name] = repo.get_pipeline_summary(d.name)
+    # Get recent pipeline runs
+    runs = repo.list_pipeline_runs()
+    return render_template(
+        "pipeline/run.html",
+        domains=domains,
+        dimensions=dimensions,
+        summaries=summaries,
+        runs=runs,
+    )
 
 
 @bp.route("/run", methods=["POST"])
@@ -37,20 +107,50 @@ def pipeline_run():
         flash("Select at least one dimension.", "error")
         return redirect(url_for("pipeline.pipeline_form"))
 
-    from physcom.engine.constraint_resolver import ConstraintResolver
-    from physcom.engine.scorer import Scorer
-    from physcom.engine.pipeline import Pipeline
+    # Create pipeline_run record
+    config = {
+        "passes": passes,
+        "threshold": threshold,
+        "dimensions": dim_list,
+    }
+    run_id = repo.create_pipeline_run(domain.id, config)
 
-    resolver = ConstraintResolver()
-    scorer = Scorer(domain)
-    pipeline = Pipeline(repo, resolver, scorer, llm=None)
+    # Resolve DB path for the background thread
+    from physcom_web.app import DEFAULT_DB
+    db_path = str(Path(os.environ.get("PHYSCOM_DB", str(DEFAULT_DB))))
 
-    result = pipeline.run(domain, dim_list, score_threshold=threshold, passes=passes)
+    # Start background thread
+    t = threading.Thread(
+        target=_run_pipeline_in_background,
+        args=(db_path, domain_name, dim_list, passes, threshold, run_id),
+        daemon=True,
+    )
+    t.start()
 
     flash(
-        f"Pipeline complete: {result.total_generated} combos generated, "
-        f"{result.pass1_valid} valid, {result.pass1_blocked} blocked, "
-        f"{result.pass3_above_threshold} above threshold.",
-        "success",
+        f"Pipeline run #{run_id} started for {domain_name} "
+        f"(passes {passes}, threshold {threshold}).",
+        "info",
     )
-    return redirect(url_for("results.results_domain", domain_name=domain_name))
+    return redirect(url_for("pipeline.pipeline_form"))
+
+
+@bp.route("/runs/<int:run_id>/status")
+def run_status(run_id: int):
+    """HTMX partial: returns live progress for a single pipeline run."""
+    repo = get_repo()
+    run = repo.get_pipeline_run(run_id)
+    if not run:
+        return "<p>Run not found.</p>", 404
+    return render_template("pipeline/_run_status.html", run=run)
+
+
+@bp.route("/runs/<int:run_id>/cancel", methods=["POST"])
+def run_cancel(run_id: int):
+    """Set a running pipeline to cancelled. The pipeline checks this flag."""
+    repo = get_repo()
+    run = repo.get_pipeline_run(run_id)
+    if run and run["status"] == "running":
+        repo.update_pipeline_run(run_id, status="cancelled")
+        flash(f"Run #{run_id} cancellation requested.", "info")
+    return redirect(url_for("pipeline.pipeline_form"))

src/physcom_web/routes/results.py

@@ -26,7 +26,8 @@ def results_domain(domain_name: str):
 
     status_filter = request.args.get("status")
     results = repo.get_all_results(domain_name, status=status_filter)
-    statuses = repo.count_combinations_by_status()
+    # Domain-scoped status counts (only combos that have results in this domain)
+    statuses = repo.count_combinations_by_status(domain_name=domain_name)
 
     return render_template(
         "results/list.html",
@@ -35,6 +36,7 @@ def results_domain(domain_name: str):
         results=results,
         status_filter=status_filter,
         statuses=statuses,
+        total_results=sum(statuses.values()),
     )
 
 

src/physcom_web/static/style.css

@@ -154,3 +154,77 @@ dd { font-size: 0.9rem; }
 
 /* ── Dep add form ────────────────────────────────────────── */
 .dep-add-form { margin-top: 0.75rem; }
+
+/* ── Form hints ──────────────────────────────────────────── */
+.form-hint { color: #666; font-size: 0.8rem; margin-bottom: 0.25rem; font-weight: 400; }
+
+/* ── Vertical checkbox list ──────────────────────────────── */
+.checkbox-col { display: flex; flex-direction: column; gap: 0.5rem; }
+.checkbox-col label { display: flex; align-items: baseline; gap: 0.4rem; font-size: 0.9rem; }
+.checkbox-col label .form-hint { display: block; margin-left: 1.3rem; }
+
+/* ── Summary DL (pipeline) ───────────────────────────────── */
+.summary-dl { display: grid; grid-template-columns: auto 1fr; gap: 0.15rem 1rem; }
+
+/* ── Pipeline run status ────────────────────────────────── */
+.badge-running { background: #dbeafe; color: #1e40af; }
+.badge-completed { background: #dcfce7; color: #166534; }
+.badge-failed { background: #fee2e2; color: #991b1b; }
+.badge-cancelled { background: #fef3c7; color: #92400e; }
+
+.run-status { padding: 0.25rem 0; }
+.run-status-header { display: flex; align-items: center; gap: 0.5rem; margin-bottom: 0.5rem; }
+.run-status-label { font-weight: 600; font-size: 0.9rem; }
+
+.progress-bar-container {
+  background: #e5e7eb;
+  border-radius: 4px;
+  height: 8px;
+  overflow: hidden;
+  margin-bottom: 0.35rem;
+}
+.progress-bar {
+  background: #2563eb;
+  height: 100%;
+  border-radius: 4px;
+  transition: width 0.3s ease;
+}
+
+.run-status-counters {
+  display: flex;
+  gap: 1rem;
+  font-size: 0.8rem;
+  color: #555;
+  margin-bottom: 0.35rem;
+}
+
+.run-status-actions { margin-top: 0.35rem; }
+
+/* ── Block reason ───────────────────────────────────────── */
+.block-reason-cell {
+  font-size: 0.8rem;
+  color: #666;
+  max-width: 350px;
+  word-break: break-word;
+}
+
+/* ── Metric position bar ────────────────────────────────── */
+.metric-bar-container {
+  display: inline-block;
+  width: 60px;
+  height: 6px;
+  background: #e5e7eb;
+  border-radius: 3px;
+  overflow: hidden;
+  vertical-align: middle;
+}
+.metric-bar {
+  height: 100%;
+  background: #2563eb;
+  border-radius: 3px;
+}
+.metric-bar-label {
+  font-size: 0.75rem;
+  color: #666;
+  margin-left: 0.3rem;
+}

src/physcom_web/templates/domains/list.html

@@ -7,14 +7,13 @@
 {% if not domains %}
 <p class="empty">No domains found. Seed data via CLI first.</p>
 {% else %}
-<div class="card-grid">
   {% for d in domains %}
   <div class="card">
     <h2>{{ d.name }}</h2>
     <p>{{ d.description }}</p>
     <table>
       <thead>
-        <tr><th>Metric</th><th>Weight</th><th>Min</th><th>Max</th></tr>
+        <tr><th>Metric</th><th>Weight</th><th>Norm Min</th><th>Norm Max</th></tr>
       </thead>
       <tbody>
         {% for mb in d.metric_bounds %}
@@ -29,6 +28,5 @@
     </table>
   </div>
   {% endfor %}
-</div>
 {% endif %}
 {% endblock %}

src/physcom_web/templates/entities/detail.html

@@ -3,21 +3,29 @@
 
 {% block content %}
 <div class="page-header">
-  <h1>{{ entity.name }}</h1>
-  <div>
-    <a href="{{ url_for('entities.entity_edit', entity_id=entity.id) }}" class="btn">Edit</a>
+  <h1>{{ entity.name }} <span class="subtitle">{{ entity.dimension }}</span></h1>
   <form method="post" action="{{ url_for('entities.entity_delete', entity_id=entity.id) }}" class="inline-form"
-          onsubmit="return confirm('Delete this entity?')">
-      <button type="submit" class="btn btn-danger">Delete</button>
+        onsubmit="return confirm('Delete this entity and all its dependencies?')">
+    <button type="submit" class="btn btn-danger">Delete Entity</button>
   </form>
 </div>
-</div>
 
 <div class="card">
-  <dl>
-    <dt>Dimension</dt><dd>{{ entity.dimension }}</dd>
-    <dt>Description</dt><dd>{{ entity.description or '—' }}</dd>
-  </dl>
+  <form method="post" action="{{ url_for('entities.entity_detail', entity_id=entity.id) }}">
+    <div class="form-row">
+      <div class="form-group" style="flex:1">
+        <label for="name">Name</label>
+        <input type="text" id="name" name="name" value="{{ entity.name }}" required>
+      </div>
+      <div class="form-group" style="flex:2">
+        <label for="description">Description</label>
+        <input type="text" id="description" name="description" value="{{ entity.description }}">
+      </div>
+      <div class="form-group" style="align-self:end">
+        <button type="submit" class="btn btn-primary">Save</button>
+      </div>
+    </div>
+  </form>
 </div>
 
 <h2>Dependencies</h2>

src/physcom_web/templates/pipeline/_run_status.html

@@ -0,0 +1,78 @@
+{# HTMX partial: live status for a single pipeline run #}
+<div class="run-status run-status-{{ run.status }}"
+     {% if run.status == 'running' or run.status == 'pending' %}
+     hx-get="{{ url_for('pipeline.run_status', run_id=run.id) }}"
+     hx-trigger="every 2s"
+     hx-swap="outerHTML"
+     {% endif %}>
+
+  <div class="run-status-header">
+    <span class="badge badge-{{ run.status }}">{{ run.status }}</span>
+    <span class="run-status-label">Run #{{ run.id }}</span>
+    {% if run.current_pass %}
+    <span class="subtitle">Processing pass {{ run.current_pass }}</span>
+    {% endif %}
+  </div>
+
+  {% if run.total_combos and run.total_combos > 0 %}
+  {% set done = run.combos_pass1 or 0 %}
+  {% set pct = (done / run.total_combos * 100) | int %}
+  <div class="progress-bar-container">
+    <div class="progress-bar" style="width: {{ pct }}%"></div>
+  </div>
+  <div class="run-status-counters">
+    <span>{{ done }} / {{ run.total_combos }} combos processed</span>
+  </div>
+  <table class="compact" style="margin-top:0.35rem">
+    <thead>
+      <tr><th>Pass</th><th>Result</th></tr>
+    </thead>
+    <tbody>
+      {% if (run.combos_pass1 or 0) > 0 %}
+      {% set valid = (run.combos_pass1 or 0) - (run.total_combos - (run.combos_pass2 or 0)) if (run.combos_pass2 or 0) > 0 else (run.combos_pass1 or 0) %}
+      <tr>
+        <td>1 — Constraints</td>
+        <td>{{ run.combos_pass1 or 0 }} checked
+          {%- if (run.combos_pass2 or 0) > 0 and (run.combos_pass1 or 0) > (run.combos_pass2 or 0) %},
+            <span class="badge badge-blocked">{{ (run.combos_pass1 or 0) - (run.combos_pass2 or 0) }} blocked</span>
+          {%- endif -%}
+        </td>
+      </tr>
+      {% endif %}
+      {% if (run.combos_pass2 or 0) > 0 %}
+      <tr>
+        <td>2 — Estimation</td>
+        <td>{{ run.combos_pass2 or 0 }} estimated</td>
+      </tr>
+      {% endif %}
+      {% if (run.combos_pass3 or 0) > 0 %}
+      <tr>
+        <td>3 — Scoring</td>
+        <td>{{ run.combos_pass3 or 0 }} scored</td>
+      </tr>
+      {% endif %}
+      {% if (run.combos_pass4 or 0) > 0 %}
+      <tr>
+        <td>4 — LLM Review</td>
+        <td>{{ run.combos_pass4 or 0 }} reviewed</td>
+      </tr>
+      {% endif %}
+    </tbody>
+  </table>
+  {% endif %}
+
+  {% if run.error_message %}
+  <div class="flash flash-error" style="margin-top:0.5rem">{{ run.error_message }}</div>
+  {% endif %}
+
+  <div class="run-status-actions">
+    {% if run.status == 'running' %}
+    <form method="post" action="{{ url_for('pipeline.run_cancel', run_id=run.id) }}" class="inline-form">
+      <button type="submit" class="btn btn-danger btn-sm">Cancel</button>
+    </form>
+    {% endif %}
+    {% if run.status == 'completed' %}
+    <a href="{{ url_for('results.results_index') }}" class="btn btn-sm">View results</a>
+    {% endif %}
+  </div>
+</div>

src/physcom_web/templates/pipeline/run.html

@@ -8,6 +8,7 @@
   <form method="post" action="{{ url_for('pipeline.pipeline_run') }}">
     <div class="form-group">
       <label for="domain">Domain</label>
+      <p class="form-hint">The evaluation context that defines which metrics matter and how they're weighted.</p>
       <select name="domain" id="domain" required>
         <option value="">— select —</option>
         {% for d in domains %}
@@ -18,30 +19,45 @@
 
     <fieldset>
       <legend>Passes</legend>
-      <div class="checkbox-row">
-        {% for p in [1, 2, 3, 4, 5] %}
+      <p class="form-hint">Each pass progressively filters and enriches combinations. Later passes depend on earlier ones.</p>
+      <div class="checkbox-col">
         <label>
-          <input type="checkbox" name="passes" value="{{ p }}"
-                 {{ 'checked' if p <= 3 }}>
-          Pass {{ p }}
-          {% if p == 1 %}(Constraints)
-          {% elif p == 2 %}(Estimation)
-          {% elif p == 3 %}(Scoring)
-          {% elif p == 4 %}(LLM Review)
-          {% elif p == 5 %}(Human Review)
-          {% endif %}
+          <input type="checkbox" name="passes" value="1" checked>
+          <strong>Pass 1 — Constraint Resolution</strong>
+          <span class="form-hint">Checks requires/provides/excludes compatibility between entities. Blocks impossible combinations.</span>
+        </label>
+        <label>
+          <input type="checkbox" name="passes" value="2" checked>
+          <strong>Pass 2 — Physics Estimation</strong>
+          <span class="form-hint">Estimates raw metric values (speed, cost, etc.) using heuristics or an LLM. Without an LLM provider, uses a force/mass stub.</span>
+        </label>
+        <label>
+          <input type="checkbox" name="passes" value="3" checked>
+          <strong>Pass 3 — Scoring &amp; Ranking</strong>
+          <span class="form-hint">Normalizes estimates against domain bounds and computes a weighted geometric mean composite score.</span>
+        </label>
+        <label>
+          <input type="checkbox" name="passes" value="4">
+          <strong>Pass 4 — LLM Review</strong>
+          <span class="form-hint">Sends top combinations to an LLM for a plausibility and novelty assessment. Requires an LLM provider to be configured.</span>
+        </label>
+        <label>
+          <input type="checkbox" name="passes" value="5">
+          <strong>Pass 5 — Human Review</strong>
+          <span class="form-hint">Marks results as ready for human review on the Results page.</span>
         </label>
-        {% endfor %}
       </div>
     </fieldset>
 
     <div class="form-group">
       <label for="threshold">Score Threshold</label>
+      <p class="form-hint">Minimum composite score (0–1) for a combination to pass scoring. Lower values keep more results; higher values are more selective.</p>
       <input type="number" name="threshold" id="threshold" value="0.1" step="0.01" min="0" max="1">
     </div>
 
     <fieldset>
       <legend>Dimensions</legend>
+      <p class="form-hint">Which entity dimensions to combine. The pipeline generates the Cartesian product of all entities in the selected dimensions.</p>
       <div class="checkbox-row">
         {% for d in dimensions %}
         <label>
@@ -57,4 +73,76 @@
     </div>
   </form>
 </div>
+
+{% set active_runs = runs | selectattr('status', 'in', ['pending', 'running']) | list %}
+{% if active_runs %}
+<h2>Active Runs</h2>
+{% for run in active_runs %}
+<div class="card"
+     hx-get="{{ url_for('pipeline.run_status', run_id=run.id) }}"
+     hx-trigger="every 2s"
+     hx-swap="innerHTML">
+  {% include "pipeline/_run_status.html" %}
+</div>
+{% endfor %}
+{% endif %}
+
+{% if runs %}
+<h2>Run History</h2>
+<table>
+  <thead>
+    <tr>
+      <th>ID</th>
+      <th>Domain</th>
+      <th>Status</th>
+      <th>Total</th>
+      <th>P1 Checked</th>
+      <th>P1 Blocked</th>
+      <th>P2 Estimated</th>
+      <th>P3 Scored</th>
+      <th>P4 Reviewed</th>
+      <th>Started</th>
+    </tr>
+  </thead>
+  <tbody>
+    {% for run in runs %}
+    {% set blocked = (run.combos_pass1 or 0) - (run.combos_pass2 or 0) if (run.combos_pass2 or 0) > 0 and (run.combos_pass1 or 0) > (run.combos_pass2 or 0) else 0 %}
+    <tr>
+      <td>{{ run.id }}</td>
+      <td>{{ run.domain_name }}</td>
+      <td><span class="badge badge-{{ run.status }}">{{ run.status }}</span></td>
+      <td>{{ run.total_combos or '—' }}</td>
+      <td>{{ run.combos_pass1 or '—' }}</td>
+      <td>{% if blocked %}<span class="badge badge-blocked">{{ blocked }}</span>{% else %}—{% endif %}</td>
+      <td>{{ run.combos_pass2 or '—' }}</td>
+      <td>{{ run.combos_pass3 or '—' }}</td>
+      <td>{{ run.combos_pass4 or '—' }}</td>
+      <td>{{ run.started_at or run.created_at }}</td>
+    </tr>
+    {% endfor %}
+  </tbody>
+</table>
+{% endif %}
+
+{% if summaries.values()|select|list %}
+<h2>Domain Summaries</h2>
+{% for d in domains %}
+{% set s = summaries[d.name] %}
+{% if s %}
+<div class="card">
+  <h3>{{ d.name }} <span class="subtitle">{{ d.description }}</span></h3>
+  <dl class="summary-dl">
+    <dt>Results</dt><dd>{{ s.total_results }} scored combinations</dd>
+    <dt>Blocked</dt><dd>{{ s.blocked }} combinations</dd>
+    <dt>Score range</dt><dd class="score-cell">{{ "%.4f"|format(s.min_score) }} — {{ "%.4f"|format(s.max_score) }}</dd>
+    <dt>Avg score</dt><dd class="score-cell">{{ "%.4f"|format(s.avg_score) }}</dd>
+    <dt>Last pass</dt><dd>{{ s.last_pass }}</dd>
+  </dl>
+  <div style="margin-top:0.5rem">
+    <a href="{{ url_for('results.results_domain', domain_name=d.name) }}" class="btn btn-sm">View results</a>
+  </div>
+</div>
+{% endif %}
+{% endfor %}
+{% endif %}
 {% endblock %}

src/physcom_web/templates/results/detail.html

@@ -55,19 +55,55 @@
 
 {% if scores %}
 <h2>Per-Metric Scores</h2>
+{% set bounds = {} %}
+{% for mb in domain.metric_bounds %}
+  {% set _ = bounds.update({mb.metric_name: mb}) %}
+{% endfor %}
 <div class="card">
   <table>
     <thead>
-      <tr><th>Metric</th><th>Raw Value</th><th>Normalized</th><th>Method</th><th>Confidence</th></tr>
+      <tr>
+        <th>Metric</th>
+        <th>Raw Value</th>
+        <th>Domain Range</th>
+        <th>Position</th>
+        <th>Normalized</th>
+        <th>Weight</th>
+      </tr>
     </thead>
     <tbody>
       {% for s in scores %}
+      {% set mb = bounds.get(s.metric_name) %}
       <tr>
         <td>{{ s.metric_name }}</td>
-        <td>{{ "%.2f"|format(s.raw_value) if s.raw_value is not none else '—' }}</td>
+        {% set unit = s.metric_unit or '' %}
+        <td class="score-cell">{{ "%.2f"|format(s.raw_value) if s.raw_value is not none else '—' }}{{ ' ' + unit if unit and s.raw_value is not none else '' }}</td>
+        <td>
+          {%- if mb -%}
+            {{ "%.2f"|format(mb.norm_min) }} — {{ "%.2f"|format(mb.norm_max) }}{{ ' ' + unit if unit else '' }}
+          {%- else -%}
+            —
+          {%- endif -%}
+        </td>
+        <td>
+          {%- if mb and s.raw_value is not none -%}
+            {%- if s.raw_value <= mb.norm_min -%}
+              <span class="badge badge-blocked">at/below min</span>
+            {%- elif s.raw_value >= mb.norm_max -%}
+              <span class="badge badge-valid">at/above max</span>
+            {%- else -%}
+              {% set pct = ((s.raw_value - mb.norm_min) / (mb.norm_max - mb.norm_min) * 100) | int %}
+              <div class="metric-bar-container">
+                <div class="metric-bar" style="width: {{ pct }}%"></div>
+              </div>
+              <span class="metric-bar-label">~{{ pct }}%</span>
+            {%- endif -%}
+          {%- else -%}
+            —
+          {%- endif -%}
+        </td>
         <td class="score-cell">{{ "%.4f"|format(s.normalized_score) if s.normalized_score is not none else '—' }}</td>
-        <td>{{ s.estimation_method or '—' }}</td>
-        <td>{{ "%.2f"|format(s.confidence) if s.confidence is not none else '—' }}</td>
+        <td>{{ "%.0f%%"|format(mb.weight * 100) if mb else '—' }}</td>
       </tr>
       {% endfor %}
     </tbody>

src/physcom_web/templates/results/list.html

@@ -21,7 +21,7 @@
   <div class="filter-row">
     <span>Filter:</span>
     <a href="{{ url_for('results.results_domain', domain_name=domain.name) }}"
-       class="btn btn-sm {{ '' if status_filter else 'btn-primary' }}">All</a>
+       class="btn btn-sm {{ '' if status_filter else 'btn-primary' }}">All ({{ total_results }})</a>
     {% for s, cnt in statuses.items() %}
     <a href="{{ url_for('results.results_domain', domain_name=domain.name, status=s) }}"
        class="btn btn-sm {{ 'btn-primary' if status_filter == s else '' }}">
@@ -32,7 +32,11 @@
   {% endif %}
 
   {% if not results %}
-  <p class="empty">No results yet. <a href="{{ url_for('pipeline.pipeline_form') }}">Run the pipeline</a> first.</p>
+    {% if status_filter %}
+    <p class="empty">No results with status "{{ status_filter }}" in this domain.</p>
+    {% else %}
+    <p class="empty">No results for this domain yet. <a href="{{ url_for('pipeline.pipeline_form') }}">Run the pipeline</a> first.</p>
+    {% endif %}
   {% else %}
   <table>
     <thead>
@@ -41,7 +45,7 @@
         <th>Score</th>
         <th>Entities</th>
         <th>Status</th>
-        <th>Novelty</th>
+        <th>Details</th>
         <th></th>
       </tr>
     </thead>
@@ -49,10 +53,18 @@
       {% for r in results %}
       <tr>
         <td>{{ loop.index }}</td>
-        <td class="score-cell">{{ "%.4f"|format(r.composite_score) }}</td>
+        <td class="score-cell">{{ "%.4f"|format(r.composite_score) if r.composite_score else '—' }}</td>
         <td>{{ r.combination.entities|map(attribute='name')|join(' + ') }}</td>
         <td><span class="badge badge-{{ r.combination.status }}">{{ r.combination.status }}</span></td>
-        <td>{{ r.novelty_flag or '—' }}</td>
+        <td class="block-reason-cell">
+          {%- if r.combination.status == 'blocked' and r.combination.block_reason -%}
+            {{ r.combination.block_reason }}
+          {%- elif r.novelty_flag -%}
+            {{ r.novelty_flag }}
+          {%- else -%}
+            —
+          {%- endif -%}
+        </td>
         <td>
           <a href="{{ url_for('results.result_detail', domain_name=domain.name, combo_id=r.combination.id) }}"
              class="btn btn-sm">View</a>

tests/test_pipeline_async.py

@@ -0,0 +1,305 @@
+"""Tests for async pipeline: resume, cancellation, status guard, run lifecycle."""
+
+import json
+
+from physcom.engine.constraint_resolver import ConstraintResolver
+from physcom.engine.scorer import Scorer
+from physcom.engine.pipeline import Pipeline, CancelledError
+
+
+def test_pipeline_run_lifecycle(seeded_repo):
+    """Pipeline run should transition: pending -> running -> completed."""
+    repo = seeded_repo
+    domain = repo.get_domain("urban_commuting")
+    config = {"passes": [1, 2, 3], "threshold": 0.1, "dimensions": ["platform", "power_source"]}
+    run_id = repo.create_pipeline_run(domain.id, config)
+
+    run = repo.get_pipeline_run(run_id)
+    assert run["status"] == "pending"
+
+    resolver = ConstraintResolver()
+    scorer = Scorer(domain)
+    pipeline = Pipeline(repo, resolver, scorer)
+
+    pipeline.run(domain, ["platform", "power_source"], passes=[1, 2, 3], run_id=run_id)
+
+    run = repo.get_pipeline_run(run_id)
+    assert run["status"] == "completed"
+    assert run["total_combos"] == 81
+    assert run["started_at"] is not None
+    assert run["completed_at"] is not None
+
+
+def test_pipeline_run_failed(seeded_repo):
+    """Pipeline run should be marked failed on error."""
+    repo = seeded_repo
+    domain = repo.get_domain("urban_commuting")
+    config = {"passes": [1], "threshold": 0.1, "dimensions": ["platform", "power_source"]}
+    run_id = repo.create_pipeline_run(domain.id, config)
+
+    # Manually mark as failed (simulating what the web route does on exception)
+    repo.update_pipeline_run(run_id, status="failed", error_message="Test error")
+
+    run = repo.get_pipeline_run(run_id)
+    assert run["status"] == "failed"
+    assert run["error_message"] == "Test error"
+
+
+def test_resume_skips_completed_combos(seeded_repo):
+    """Re-running the same passes on the same domain should skip already-completed combos."""
+    repo = seeded_repo
+    domain = repo.get_domain("urban_commuting")
+
+    resolver = ConstraintResolver()
+    scorer = Scorer(domain)
+    pipeline = Pipeline(repo, resolver, scorer)
+
+    # First run: passes 1-3
+    run_id_1 = repo.create_pipeline_run(domain.id, {"passes": [1, 2, 3]})
+    result1 = pipeline.run(
+        domain, ["platform", "power_source"],
+        score_threshold=0.01, passes=[1, 2, 3], run_id=run_id_1,
+    )
+    assert result1.pass2_estimated > 0
+    first_estimated = result1.pass2_estimated
+
+    # Second run: same passes — should skip all combos (already pass_reached >= 3)
+    run_id_2 = repo.create_pipeline_run(domain.id, {"passes": [1, 2, 3]})
+    result2 = pipeline.run(
+        domain, ["platform", "power_source"],
+        score_threshold=0.01, passes=[1, 2, 3], run_id=run_id_2,
+    )
+    # pass2_estimated still counted (reloaded from DB) but no new estimation work
+    # The key thing: the run completes successfully
+    assert result2.total_generated == result1.total_generated
+    run2 = repo.get_pipeline_run(run_id_2)
+    assert run2["status"] == "completed"
+
+
+def test_cancellation_stops_processing(seeded_repo):
+    """Cancelling a run mid-flight should stop the pipeline gracefully."""
+    repo = seeded_repo
+    domain = repo.get_domain("urban_commuting")
+
+    resolver = ConstraintResolver()
+    scorer = Scorer(domain)
+    pipeline = Pipeline(repo, resolver, scorer)
+
+    run_id = repo.create_pipeline_run(domain.id, {"passes": [1, 2, 3]})
+
+    # Pre-cancel the run before it starts processing
+    repo.update_pipeline_run(run_id, status="running")
+    repo.update_pipeline_run(run_id, status="cancelled")
+
+    result = pipeline.run(
+        domain, ["platform", "power_source"],
+        score_threshold=0.01, passes=[1, 2, 3], run_id=run_id,
+    )
+
+    # Should have stopped without processing all combos
+    run = repo.get_pipeline_run(run_id)
+    assert run["status"] == "cancelled"
+    # The pipeline was cancelled before any combo processing could happen
+    assert result.pass2_estimated == 0
+
+
+def test_status_guard_no_downgrade_reviewed(seeded_repo):
+    """update_combination_status should not downgrade 'reviewed' to 'scored'."""
+    repo = seeded_repo
+    domain = repo.get_domain("urban_commuting")
+
+    resolver = ConstraintResolver()
+    scorer = Scorer(domain)
+    pipeline = Pipeline(repo, resolver, scorer)
+
+    # Run pipeline to get scored combos
+    result = pipeline.run(
+        domain, ["platform", "power_source"],
+        score_threshold=0.01, passes=[1, 2, 3],
+    )
+
+    # Find a scored combo and manually mark it as reviewed
+    scored_combos = repo.list_combinations(status="scored")
+    assert len(scored_combos) > 0
+
+    combo = scored_combos[0]
+    repo.conn.execute(
+        "UPDATE combinations SET status = 'reviewed' WHERE id = ?", (combo.id,)
+    )
+    repo.conn.commit()
+
+    # Attempt to downgrade to 'scored'
+    repo.update_combination_status(combo.id, "scored")
+
+    # Should still be 'reviewed'
+    reloaded = repo.get_combination(combo.id)
+    assert reloaded.status == "reviewed"
+
+
+def test_human_notes_preserved_on_rerun(seeded_repo):
+    """Human notes should not be overwritten when re-running the pipeline."""
+    repo = seeded_repo
+    domain = repo.get_domain("urban_commuting")
+
+    resolver = ConstraintResolver()
+    scorer = Scorer(domain)
+    pipeline = Pipeline(repo, resolver, scorer)
+
+    # First run
+    pipeline.run(
+        domain, ["platform", "power_source"],
+        score_threshold=0.01, passes=[1, 2, 3],
+    )
+
+    # Add human notes to a result
+    results = repo.get_all_results(domain.name)
+    assert len(results) > 0
+    target = results[0]
+    combo_id = target["combination"].id
+    domain_id = target["domain_id"]
+
+    repo.save_result(
+        combo_id, domain_id,
+        target["composite_score"],
+        pass_reached=target["pass_reached"],
+        novelty_flag=target["novelty_flag"],
+        human_notes="Important human insight",
+    )
+
+    # Clear pass_reached so re-run processes this combo again
+    repo.conn.execute(
+        """UPDATE combination_results SET pass_reached = 0
+           WHERE combination_id = ? AND domain_id = ?""",
+        (combo_id, domain_id),
+    )
+    repo.conn.commit()
+
+    # Re-run pipeline
+    pipeline.run(
+        domain, ["platform", "power_source"],
+        score_threshold=0.01, passes=[1, 2, 3],
+    )
+
+    # Check that human_notes survived
+    result = repo.get_existing_result(combo_id, domain_id)
+    assert result["human_notes"] == "Important human insight"
+
+
+def test_list_pipeline_runs(seeded_repo):
+    """list_pipeline_runs should return runs for a domain or all domains."""
+    repo = seeded_repo
+    domain = repo.get_domain("urban_commuting")
+
+    run_id_1 = repo.create_pipeline_run(domain.id, {"passes": [1]})
+    run_id_2 = repo.create_pipeline_run(domain.id, {"passes": [1, 2, 3]})
+
+    all_runs = repo.list_pipeline_runs()
+    assert len(all_runs) >= 2
+
+    domain_runs = repo.list_pipeline_runs(domain_id=domain.id)
+    assert len(domain_runs) >= 2
+    assert all(r["domain_id"] == domain.id for r in domain_runs)
+
+
+def test_get_combo_pass_reached(seeded_repo):
+    """get_combo_pass_reached returns the correct pass level."""
+    repo = seeded_repo
+    domain = repo.get_domain("urban_commuting")
+
+    resolver = ConstraintResolver()
+    scorer = Scorer(domain)
+    pipeline = Pipeline(repo, resolver, scorer)
+
+    pipeline.run(
+        domain, ["platform", "power_source"],
+        score_threshold=0.01, passes=[1, 2, 3],
+    )
+
+    # Get a scored combo
+    scored_combos = repo.list_combinations(status="scored")
+    assert len(scored_combos) > 0
+    combo = scored_combos[0]
+
+    pass_reached = repo.get_combo_pass_reached(combo.id, domain.id)
+    assert pass_reached == 3
+
+    # Non-existent combo
+    assert repo.get_combo_pass_reached(99999, domain.id) is None
+
+
+def test_blocked_combos_have_results(seeded_repo):
+    """Blocked combinations should still appear in combination_results."""
+    repo = seeded_repo
+    domain = repo.get_domain("urban_commuting")
+
+    resolver = ConstraintResolver()
+    scorer = Scorer(domain)
+    pipeline = Pipeline(repo, resolver, scorer)
+
+    result = pipeline.run(
+        domain, ["platform", "power_source"],
+        score_threshold=0.01, passes=[1, 2, 3],
+    )
+
+    assert result.pass1_blocked > 0
+
+    # All combos (blocked + scored) should have result rows
+    all_results = repo.get_all_results(domain.name)
+    total_with_results = len(all_results)
+    # blocked combos get pass_reached=1 results, non-blocked get pass_reached=3
+    assert total_with_results == result.pass1_blocked + result.pass3_scored
+
+    # Blocked combos should have pass_reached=1 and composite_score=0.0
+    blocked_results = [r for r in all_results if r["combination"].status == "blocked"]
+    assert len(blocked_results) == result.pass1_blocked
+    for br in blocked_results:
+        assert br["pass_reached"] == 1
+        assert br["composite_score"] == 0.0
+
+
+def test_all_passes_run_and_tracked(seeded_repo):
+    """With passes [1,2,3], all three should show nonzero counts in run record."""
+    repo = seeded_repo
+    domain = repo.get_domain("urban_commuting")
+
+    resolver = ConstraintResolver()
+    scorer = Scorer(domain)
+    pipeline = Pipeline(repo, resolver, scorer)
+
+    run_id = repo.create_pipeline_run(domain.id, {"passes": [1, 2, 3]})
+    result = pipeline.run(
+        domain, ["platform", "power_source"],
+        score_threshold=0.01, passes=[1, 2, 3], run_id=run_id,
+    )
+
+    run = repo.get_pipeline_run(run_id)
+    assert run["combos_pass1"] > 0, "Pass 1 counter should be nonzero"
+    assert run["combos_pass2"] > 0, "Pass 2 counter should be nonzero"
+    assert run["combos_pass3"] > 0, "Pass 3 counter should be nonzero"
+
+    # Pass 2 should equal valid + conditional (blocked don't get estimated)
+    assert run["combos_pass2"] == result.pass2_estimated
+    # Pass 3 should equal pass3_scored (all scored combos, not just above threshold)
+    assert run["combos_pass3"] == result.pass3_scored
+
+
+def test_save_combination_loads_existing_status(seeded_repo):
+    """save_combination should load the status of an existing combo from DB."""
+    repo = seeded_repo
+    from physcom.models.combination import Combination
+    from physcom.models.entity import Entity
+
+    entities = repo.list_entities(dimension="platform")[:1] + repo.list_entities(dimension="power_source")[:1]
+    combo = Combination(entities=entities)
+    saved = repo.save_combination(combo)
+    assert saved.status == "pending"
+
+    # Mark it blocked in DB
+    repo.update_combination_status(saved.id, "blocked", "test reason")
+
+    # Re-saving should pick up the blocked status
+    combo2 = Combination(entities=entities)
+    reloaded = repo.save_combination(combo2)
+    assert reloaded.id == saved.id
+    assert reloaded.status == "blocked"
+    assert reloaded.block_reason == "test reason"