Enrich cases with descriptive context and traced relationships

config/project.example.toml

@@ -16,7 +16,7 @@ user = "viano_reader"
 password_file = "../service-data/research/world-db/reader.local.txt"
 snapshot_id = "backup-sha256:4964f277ef5cf7f7f98bf4378971dcb55180bac813d49bcda6d2f03ff6969662"
 # Explicit allowlist: no account or character tables.
-tables = ["creature_template", "creature_template_locale", "creature", "quest_template", "quest_template_addon", "smart_scripts", "conditions", "game_event", "game_event_creature", "spell_script_names", "gameobject_template", "gameobject", "creature_equip_template"]
+tables = ["creature_template", "creature_template_locale", "creature", "quest_template", "quest_template_addon", "smart_scripts", "conditions", "game_event", "game_event_creature", "spell_script_names", "gameobject_template", "gameobject", "creature_equip_template", "item_script_names", "creature_queststarter", "spell_dbc"]
 
 [limits]
 max_rows = 50
@@ -28,6 +28,17 @@ max_lines = 80
 timeout_seconds = 15
 max_cached_queries = 256
 
+[enrichment]
+max_queries = 24
+max_depth = 3
+max_relationships = 128
+
+[[enrichment.texts]]
+table = "quest_template"
+id_column = "ID"
+context_role = "quest_definition"
+columns = ["LogTitle", "LogDescription", "QuestDescription"]
+
 [[enrichment.queries]]
 kind = "source.schema"
 text = "CREATE TABLE `creature`"
@@ -56,5 +67,144 @@ limit = 1
 entity_type = "quest"
 table = "quest_template"
 column = "ID"
-columns = ["ID", "LogTitle", "RequiredNpcOrGo1", "RequiredNpcOrGo2", "RequiredNpcOrGo3", "RequiredNpcOrGo4", "RequiredItemId1", "RequiredItemId2", "RequiredSpell"]
+columns = ["ID", "LogTitle", "LogDescription", "QuestDescription", "StartItem", "RequiredNpcOrGo1", "RequiredNpcOrGo2", "RequiredNpcOrGo3", "RequiredNpcOrGo4", "RequiredItemId1", "RequiredItemId2", "RequiredItemId3", "RequiredItemId4", "RequiredItemId5", "RequiredItemId6", "RequiredSpell"]
 limit = 1
+
+[[enrichment.relationships]]
+from_table = "quest_template"
+from_id_column = "ID"
+from_column = "StartItem"
+relation = "quest_start_item"
+entity_type = "item"
+table = "item_script_names"
+column = "Id"
+columns = ["Id", "ScriptName"]
+
+[[enrichment.relationships]]
+from_table = "quest_template"
+from_id_column = "ID"
+from_column = "RequiredItemId1"
+relation = "quest_required_item"
+entity_type = "item"
+table = "item_script_names"
+column = "Id"
+columns = ["Id", "ScriptName"]
+
+[[enrichment.relationships]]
+from_table = "quest_template"
+from_id_column = "ID"
+from_column = "RequiredItemId2"
+relation = "quest_required_item"
+entity_type = "item"
+table = "item_script_names"
+column = "Id"
+columns = ["Id", "ScriptName"]
+
+[[enrichment.relationships]]
+from_table = "quest_template"
+from_id_column = "ID"
+from_column = "ID"
+relation = "quest_starter_records"
+table = "creature_queststarter"
+column = "quest"
+columns = ["id", "quest"]
+
+[[enrichment.relationships]]
+from_table = "creature_queststarter"
+from_id_column = "quest"
+from_column = "id"
+relation = "quest_giver"
+entity_type = "creature"
+table = "creature_template"
+column = "entry"
+columns = ["entry", "name", "AIName", "ScriptName"]
+
+[[enrichment.relationships]]
+from_table = "creature_template"
+from_id_column = "entry"
+from_column = "entry"
+when_column = "AIName"
+when_value = "SmartAI"
+relation = "creature_smartai_records"
+table = "smart_scripts"
+column = "entryorguid"
+columns = ["entryorguid", "source_type", "id", "link", "event_type", "event_param1", "event_param2", "event_param3", "event_param4", "action_type", "action_param1", "action_param2", "action_param3", "action_param4", "action_param5", "action_param6", "target_type", "target_param1", "target_param2", "target_param3", "comment"]
+filters = [{column = "source_type", operator = "eq", value = 0}]
+limit = 10
+
+[[enrichment.relationships]]
+from_table = "creature_template"
+from_id_column = "entry"
+from_column = "ScriptName"
+relation = "creature_script_binding"
+kind = "source.symbol"
+path_prefix = "src/server/scripts/"
+limit = 5
+
+[[enrichment.relationships]]
+from_table = "item_script_names"
+from_id_column = "Id"
+from_column = "ScriptName"
+relation = "item_script_binding"
+kind = "source.symbol"
+path_prefix = "src/server/scripts/"
+limit = 5
+
+[[enrichment.relationships]]
+from_table = "quest_template"
+from_id_column = "ID"
+from_column = "RequiredSpell"
+relation = "quest_required_spell"
+entity_type = "spell"
+table = "spell_script_names"
+column = "spell_id"
+columns = ["spell_id", "ScriptName"]
+
+[[enrichment.relationships]]
+from_table = "spell_script_names"
+from_id_column = "spell_id"
+from_column = "ScriptName"
+relation = "spell_script_binding"
+kind = "source.symbol"
+path_prefix = "src/server/scripts/"
+limit = 5
+
+[[enrichment.relationships]]
+from_table = "quest_template"
+from_id_column = "ID"
+from_column = "RequiredItemId3"
+relation = "quest_required_item"
+entity_type = "item"
+table = "item_script_names"
+column = "Id"
+columns = ["Id", "ScriptName"]
+
+[[enrichment.relationships]]
+from_table = "quest_template"
+from_id_column = "ID"
+from_column = "RequiredItemId4"
+relation = "quest_required_item"
+entity_type = "item"
+table = "item_script_names"
+column = "Id"
+columns = ["Id", "ScriptName"]
+
+[[enrichment.relationships]]
+from_table = "quest_template"
+from_id_column = "ID"
+from_column = "RequiredItemId5"
+relation = "quest_required_item"
+entity_type = "item"
+table = "item_script_names"
+column = "Id"
+columns = ["Id", "ScriptName"]
+
+[[enrichment.relationships]]
+from_table = "quest_template"
+from_id_column = "ID"
+from_column = "RequiredItemId6"
+relation = "quest_required_item"
+entity_type = "item"
+table = "item_script_names"
+column = "Id"
+columns = ["Id", "ScriptName"]

docs/project-research-v1.md

@@ -101,6 +101,44 @@ Die Beispielkonfiguration löst Creature- und Quest-IDs generisch auf. Sie enth
 BUG-000020-spezifische Diagnose oder Wolpertinger-ID. Die LLM kann während der Untersuchung
 weitere Tabellen und Source-Ausschnitte gezielt abfragen.
 
+### Kontextorientierte Erweiterung
+
+Die Quest-Aufbereitung übernimmt nun auch `LogDescription`, `QuestDescription` und
+`StartItem`. Damit bleiben Handlung, Zweck des mitgegebenen Gegenstands und die
+beschriebenen Voraussetzungen sichtbar. Questtexte beschreiben die im Template
+formulierte Mechanik; sie beweisen keine tatsächlich ausgeführte Serveraktion.
+`enrichment.texts` hebt solche Texte als eigene `project_description`-Fakten mit
+Quellspalte, Rollenlabel und Herkunft hervor. Im numerischen Query-Fakt bleibt ein
+Textverweis statt einer zweiten Kopie. Die vollständige unveränderte Antwort liegt
+weiterhin im Capture; die Interpretation sieht den Text einmal in lesbarem Kontext.
+
+`enrichment.relationships` verfolgt ausdrücklich konfigurierte Beziehungen aus
+zurückgegebenen DB-Spalten. `from_table`, `from_column` und `from_id_column` bestimmen
+den Ursprung. `table`, `column` und `columns` bestimmen die folgende DB-Abfrage.
+`relation` benennt den Zusammenhang; `entity_type` ergänzt eine referenzierte Entität.
+Die Herkunft jeder Beziehung zeigt mit Capture und JSON-Pointer auf den Originalwert.
+Ein referenziertes Item wird nicht als beobachtetes Laufzeitobjekt oder Ursache markiert.
+
+Die Vcore-Konfiguration verfolgt mitgegebene/geforderte Items, Queststarter,
+SmartAI-Datensätze und ausdrücklich gebundene Creature-/Item-/Spell-Scriptnamen.
+SmartAI-Abfragen berücksichtigen `source_type = 0`, damit numerisch gleiche IDs anderer
+Entitätstypen nicht vermischt werden. Scriptnamen werden als Symbol gesucht, nicht als
+beliebige Zahl über die gesamte Historie. Weitere Beziehungen bleiben konfigurierbar;
+das generische Python-Modul enthält keine WoW-IDs oder Quest-Sonderfälle.
+
+`when_column`/`when_value` begrenzen bedingte Beziehungen. Standardmäßig werden null,
+leere Zeichenfolgen und numerische Null nicht verfolgt; `ignore_values` kann dies für
+andere Profile anpassen. Identische Queries werden nur einmal gesammelt. Zyklen und
+Verzweigungen sind durch konfigurierbare `max_queries`, `max_depth` und
+`max_relationships` begrenzt. Ausgelassene Abfragen/Beziehungen werden als
+`project_context_coverage` sichtbar statt als vollständige Ermittlung ausgegeben.
+
+Leere Item-Script- oder Queststarter-Resultate sind nur Befunde innerhalb dieser
+Tabellen. Sie beweisen weder ein fehlendes Item noch, dass eine Quest nicht durch einen
+anderen Mechanismus vergeben werden kann. Client-/Hotfix-Itemdaten werden durch diesen
+Meilenstein nicht importiert oder erfunden. Eine komplette Item→Spell→Creature-Kette
+ist deshalb nicht in jedem Case automatisch auflösbar; fehlende Teile bleiben Recherchebedarf.
+
 Mit aktivierter Projekt-Recherche wird `investigation_project_v1` verwendet. Der volle
 Context bleibt unverändert archiviert. Der Prompt lässt Input-Inventar und doppelte
 vorige Resultate weg; fremde Hypothesen behalten Evidenz-IDs/Provenienz, aber keine Payloads.

src/viano_bug_analysis/tools/case_enrichment.py

@@ -1,6 +1,5 @@
 """Deterministic local facts collected before CaseBuilder seals a revision."""
 import copy
-import hashlib
 
 from viano_bug_analysis.case import CaseAssembler
 from viano_bug_analysis.case.contracts import read_json
@@ -38,28 +37,25 @@ class ProjectCaseEnricher:
                     queries.append({"kind":"database.rows", "table":rule["table"],
                                     "columns":rule["columns"], "filters":[{"column":rule["column"], "operator":"eq", "value":value}],
                                     "offset":0, "limit":rule.get("limit", 5)})
-            if len(queries) > 40:
+            from .context_expansion import ContextExpansion
-                raise ToolError("PROJECT_ENRICHMENT_QUERY_LIMIT")
+            additions, facts, context, linked_entities = ContextExpansion(
-            additions, facts, context = {}, [], {"database":[], "source":[]}
+                self.service, getattr(self.service,"enrichment",{})).collect(queries)
-            for query in queries:
+            capture_refs = list(additions)
-                data = self.service.collect(query)
+            for ref, data in list(additions.items()):
-                import json
+                if ref in reader.files:
-                capture = json.loads(data)
+                    if reader.read_bytes(ref) != data:
-                ref = "research/project/" + hashlib.sha256(data).hexdigest() + "/capture.json"
+                        raise ToolError("PROJECT_CAPTURE_CHANGED")
-                additions[ref] = data
+                    del additions[ref]
-                role = "database" if query["kind"].startswith("database.") else "source"
-                context[role].append(ref)
-                facts.append({"name":"project_query", "value":{
-                    "query":query, "origin":capture["origin"], "result":capture["result"], "capture_ref":ref}})
             index_ref = m["artifacts"].get("case_inputs")
             index = read_json(reader, index_ref, "case-inputs", 1024**2) if index_ref else {"format":"viano-case-inputs", "format_version":1}
             base = f"research/project/revisions/{m['analysis_revision']:04d}"
             facts_ref = base + "/facts.json"
             additions[facts_ref] = json_bytes({"format":"viano-reproduction", "format_version":1,
-                                              "facts":facts, "attachments":list(additions)})
+                                              "facts":facts, "entities":linked_entities, "attachments":capture_refs})
             index.setdefault("reproductions", []).append(facts_ref)
             for role, refs in context.items():
-                index.setdefault("context", {}).setdefault(role, []).extend(dict.fromkeys(refs))
+                existing_refs=index.setdefault("context", {}).setdefault(role, [])
+                existing_refs.extend(ref for ref in dict.fromkeys(refs) if ref not in existing_refs)
             new_index = base + "/case-inputs.json"
             additions[new_index] = json_bytes(index)
             generation = m["package_generation"]

src/viano_bug_analysis/tools/context_expansion.py

@@ -0,0 +1,123 @@
+"""Bounded traversal of operator-declared data relationships, never diagnosis."""
+import copy
+import hashlib
+import json
+import re
+
+from viano_bug_analysis.lifecycle.storage import json_bytes
+from .config import ToolError
+
+
+class ContextExpansion:
+    def __init__(self, service, settings):
+        self.service = service
+        self.rules = settings.get("relationships", [])
+        self.text_rules = settings.get("texts", [])
+        self.max_queries = settings.get("max_queries", 40)
+        self.max_depth = settings.get("max_depth", 2)
+        self.max_relationships = settings.get("max_relationships", 128)
+        if any(type(v) is not int or v <= 0 for v in (self.max_queries, self.max_depth, self.max_relationships)):
+            raise ToolError("PROJECT_ENRICHMENT_CONFIG")
+
+    def collect(self, queries):
+        queue = [(copy.deepcopy(q), 0) for q in queries]
+        seen, edges, entities = set(), [], []
+        additions, facts, context = {}, [], {"database": [], "source": []}
+        omitted, depth_limited, omitted_relationships = 0, 0, 0
+        while queue:
+            query, depth = queue.pop(0)
+            query_key = json_bytes(query)
+            if query_key in seen:
+                continue
+            seen.add(query_key)
+            if len(additions) >= self.max_queries:
+                omitted += 1
+                continue
+            data = self.service.collect(query)
+            capture = json.loads(data)
+            ref = "research/project/" + hashlib.sha256(data).hexdigest() + "/capture.json"
+            additions[ref] = data
+            role = "database" if query["kind"].startswith("database.") else "source"
+            context[role].append(ref)
+            visible_result = copy.deepcopy(capture["result"])
+            descriptions = []
+            if query["kind"] == "database.rows":
+                for rule in self.text_rules:
+                    if rule["table"] != query["table"]:
+                        continue
+                    for i, item in enumerate(capture["result"]["items"]):
+                        row = item.get("row", {})
+                        texts = []
+                        for column in rule["columns"]:
+                            text = row.get(column)
+                            if not isinstance(text, str) or not text.strip():
+                                continue
+                            origin = {"source_ref":ref, "json_pointer":f"/result/items/{i}/row/{column}"}
+                            texts.append({"column":column, "text":text, "origin":origin})
+                            # The raw text is archived once and presented once to the model.
+                            visible_result["items"][i]["row"][column] = {"text_ref":origin}
+                        if texts:
+                            descriptions.append({"name":"project_description", "value":{
+                                "context_role":rule["context_role"], "table":query["table"],
+                                "entity_id":row.get(rule.get("id_column","")), "texts":texts,
+                                "meaning":"source_description_not_verified_runtime_behavior"}})
+            facts.append({"name": "project_query", "value": {
+                "query": query, "origin": capture["origin"], "result": visible_result, "capture_ref": ref}})
+            facts.extend(descriptions)
+            if query["kind"] != "database.rows":
+                continue
+            for rule in self.rules:
+                if rule["from_table"] != query["table"]:
+                    continue
+                for i, item in enumerate(capture["result"]["items"]):
+                    row = item.get("row", {})
+                    if "when_column" in rule and row.get(rule["when_column"]) != rule["when_value"]:
+                        continue
+                    value = row.get(rule["from_column"])
+                    if value in rule.get("ignore_values", [None, "", 0]) or type(value) is bool:
+                        continue
+                    if not isinstance(value, (str, int)):
+                        raise ToolError("PROJECT_ENRICHMENT_REFERENCE")
+                    if len(edges) >= self.max_relationships:
+                        omitted_relationships += 1
+                        continue
+                    origin = {"source_ref": ref, "json_pointer": f"/result/items/{i}/row/{rule['from_column']}"}
+                    target_type = rule.get("entity_type")
+                    if target_type:
+                        # A reference identifies a related entity, not a runtime observation
+                        # or a proven cause. Never transfer the captured NPC's role to it.
+                        entity = {"type": target_type, "id": str(value),
+                                  "roles": [rule["relation"]], "origin": origin}
+                        if entity not in entities:
+                            entities.append(entity)
+                    source_id = row.get(rule.get("from_id_column", ""))
+                    edge = {"relation": rule["relation"], "from_table": query["table"],
+                            "from_id": source_id, "from_column": rule["from_column"],
+                            "target_type": target_type, "target_value": value, "origin": origin,
+                            "meaning": "explicit_data_reference_not_causation"}
+                    if edge not in edges:
+                        edges.append(edge)
+                    if depth >= self.max_depth:
+                        depth_limited += 1
+                        continue
+                    if rule.get("kind", "database.rows") == "source.symbol":
+                        if not isinstance(value, str) or not re.fullmatch("[A-Za-z_][A-Za-z0-9_]*", value):
+                            continue
+                        following = {"kind": "source.symbol", "text": value,
+                                     "path_prefix": rule.get("path_prefix", ""), "case_sensitive": True,
+                                     "offset": 0, "limit": rule.get("limit", 5)}
+                    else:
+                        following = {"kind": "database.rows", "table": rule["table"],
+                                     "columns": rule["columns"], "filters": [{"column": rule["column"], "operator": "eq", "value": value}],
+                                     "offset": 0, "limit": rule.get("limit", 5)}
+                        following["filters"].extend(copy.deepcopy(rule.get("filters", [])))
+                    queue.append((following, depth + 1))
+        for edge in edges:
+            facts.append({"name": "project_relationship", "value": edge, "origin": edge["origin"]})
+        if self.rules or omitted or depth_limited or omitted_relationships:
+            facts.append({"name": "project_context_coverage", "value": {
+                "queried": len(additions), "max_queries": self.max_queries, "max_depth": self.max_depth,
+                "omitted_queries": omitted, "depth_limited_relationships": depth_limited,
+                "omitted_relationships": omitted_relationships, "max_relationships": self.max_relationships,
+                "meaning": "bounded_context_collection_not_exhaustive_investigation"}})
+        return additions, facts, context, entities

tests/test_context_expansion.py

@@ -0,0 +1,135 @@
+import json
+import pytest
+
+from viano_bug_analysis.tools.context_expansion import ContextExpansion
+from viano_bug_analysis.tools.project_query import ProjectResearch
+from viano_bug_analysis.tools.config import ToolError
+from viano_bug_analysis.case import CaseBuilder
+from viano_bug_analysis.package import PackageReader
+from test_case_builder import case_setup
+
+
+class RelatedData:
+    def __init__(self):self.calls=[]
+    def binding(self):return {"snapshot_id":"generic-fixture"}
+    def validate(self,query):pass
+    def query(self,query):
+        self.calls.append(query)
+        value=query['filters'][0]['value']
+        rows={('tasks',10):[{'id':10,'description':'Use the supplied capture device to find the missing objects.','device':22,'required':22,'unused':0}],
+              ('devices',22):[{'id':22,'name':'Capture device','script':'capture_handler'}]}
+        return {'items':[{'table':query['table'],'row':r} for r in rows.get((query['table'],value),[])],
+                'coverage':'complete_filtered_rows','truncated':False}
+
+
+def initial():
+    return {'kind':'database.rows','table':'tasks','columns':['id','description','device','required','unused'],
+            'filters':[{'column':'id','operator':'eq','value':10}],'offset':0,'limit':1}
+
+
+def rule(column='device'):
+    return {'from_table':'tasks','from_id_column':'id','from_column':column,
+            'relation':'provided_device','entity_type':'device','table':'devices','column':'id','columns':['id','name','script']}
+
+
+def test_relationship_traversal_keeps_text_and_deduplicates_queries():
+    db=RelatedData();service=ProjectResearch({},database=db)
+    additions,facts,context,entities=ContextExpansion(service,{'relationships':[rule(),rule('required'),rule('unused')]}).collect([initial()])
+    assert len(db.calls)==2 and len(additions)==2
+    assert 'Use the supplied capture device' in str(facts)
+    assert {e['id'] for e in entities}=={'22'}
+    assert all(e['roles']==['provided_device'] for e in entities)
+    edges=[f for f in facts if f['name']=='project_relationship']
+    assert {e['value']['from_column'] for e in edges}=={'device','required'}
+    for edge in edges:
+        origin=edge['origin'];capture=json.loads(additions[origin['source_ref']])
+        assert capture['result']['items'][0]['row'][edge['value']['from_column']]==22
+    assert all(e['value']['meaning']=='explicit_data_reference_not_causation' for e in edges)
+
+
+def test_descriptive_context_is_presented_once_and_keeps_raw_proof():
+    service=ProjectResearch({},database=RelatedData())
+    additions,facts,_,_=ContextExpansion(service,{'texts':[{'table':'tasks','id_column':'id','context_role':'task_definition','columns':['description']}]}).collect([initial()])
+    description=next(f for f in facts if f['name']=='project_description')['value']
+    assert description['entity_id']==10 and description['context_role']=='task_definition'
+    assert 'not_verified_runtime_behavior' in description['meaning']
+    text=description['texts'][0]
+    capture=json.loads(additions[text['origin']['source_ref']])
+    assert text['text']==capture['result']['items'][0]['row']['description']
+    row=facts[0]['value']['result']['items'][0]['row']
+    assert row['description']=={'text_ref':text['origin']}
+
+
+def test_cycle_and_operational_limits_are_explicit():
+    db=RelatedData();service=ProjectResearch({},database=db)
+    cycle={'from_table':'devices','from_id_column':'id','from_column':'id','relation':'self','table':'devices','column':'id','columns':['id','name','script']}
+    result=ContextExpansion(service,{'relationships':[rule(),cycle]}).collect([initial()])
+    assert len(db.calls)==2
+    db.calls.clear()
+    service=ProjectResearch({},database=db)
+    _,facts,_,_=ContextExpansion(service,{'relationships':[rule()],'max_queries':1}).collect([initial()])
+    assert len(db.calls)==1 and facts[-1]['value']['omitted_queries']==1
+    _,facts,_,_=ContextExpansion(service,{'relationships':[rule(),rule('required')],'max_relationships':1}).collect([initial()])
+    assert facts[-1]['value']['omitted_relationships']==1
+
+
+def test_depth_limit_does_not_claim_complete_graph():
+    service=ProjectResearch({},database=RelatedData())
+    further={'from_table':'devices','from_id_column':'id','from_column':'id','relation':'device_detail','table':'other','column':'id','columns':['id']}
+    _,facts,_,_=ContextExpansion(service,{'relationships':[rule(),further],'max_depth':1}).collect([initial()])
+    assert facts[-1]['value']['depth_limited_relationships']==1
+    assert 'not_exhaustive' in facts[-1]['value']['meaning']
+
+
+def test_missing_relationship_rows_remain_uninterpreted():
+    service=ProjectResearch({},database=RelatedData())
+    absent=rule();absent['table']='unknown_devices'
+    _,facts,_,entities=ContextExpansion(service,{'relationships':[absent]}).collect([initial()])
+    results=[f for f in facts if f['name']=='project_query']
+    assert results[-1]['value']['result']['items']==[]
+    assert entities[0]['id']=='22'  # Referenced identity survives missing metadata.
+    assert 'root_cause' not in str(facts)
+
+
+def test_script_search_uses_bound_symbol_not_numeric_grep():
+    db=RelatedData()
+    class Source:
+        def binding(self):return {'commit':'fixture'}
+        def validate(self,q):assert q['kind']=='source.symbol'
+        def query(self,q):return {'items':[{'path':'capture.cpp','line':3,'text':'class capture_handler {};'}],'coverage':'complete_selected_text_search','truncated':False}
+    service=ProjectResearch({},database=db,source=Source())
+    script={'from_table':'devices','from_column':'script','from_id_column':'id','relation':'device_script','kind':'source.symbol','path_prefix':'src/'}
+    _,facts,context,_=ContextExpansion(service,{'relationships':[rule(),script]}).collect([initial()])
+    assert len(context['source'])==1
+    assert facts[2]['value']['query']['text']=='capture_handler'
+
+
+def test_casebuilder_links_entities_and_preserves_prior_inputs(case_setup):
+    store=case_setup[0]
+    before=store.latest('case-A','stable-package')
+    with PackageReader(before) as reader:project=reader.manifest['project']
+    service=ProjectResearch(project,database=RelatedData())
+    service.enrichment={'queries':[initial()],'relationships':[rule()]}
+    built=CaseBuilder(store,project_research=service).build('case-A','stable-package')
+    with PackageReader(before) as old,PackageReader(built.package) as reader:
+        case=json.loads(reader.read_bytes(built.case_ref))
+        assert any(e['type']=='device' and e['id']=='22' for e in case['entities'])
+        assert 'provided_device' in str(case['runtime_facts'])
+        for path in old.files:
+            if path!='manifest.json':assert old.read_bytes(path)==reader.read_bytes(path)
+    assert CaseBuilder(store,project_research=service).build('case-A','stable-package').reused
+    from viano_bug_analysis.lifecycle import State
+    for i,target in enumerate([State.INTERPRETING_CASE,State.GENERATING_HYPOTHESES,State.INVESTIGATING_HYPOTHESES,
+                               State.BUILDING_DIAGNOSIS,State.OUTPUT_READY,State.HANDED_OFF,State.REOPENED]):
+        store.advance('case-A','stable-package',target,step_id=f'context-reopen-{i}')
+    reopened=CaseBuilder(store,project_research=service).build('case-A','stable-package')
+    assert reopened.analysis_revision==2
+    with PackageReader(reopened.package) as reader:
+        case=json.loads(reader.read_bytes(reopened.case_ref))
+        paths=[r['path'] for r in case['database_context']['refs']]
+        assert len(paths)==len(set(paths))
+
+
+@pytest.mark.parametrize('field',['max_queries','max_depth','max_relationships'])
+def test_invalid_limits_rejected(field):
+    with pytest.raises(ToolError):ContextExpansion(ProjectResearch({}),{field:True})