Compare commits
3 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
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9d05f77a9b | ||
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23e093fc75 | ||
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f77ce4dff2 |
@@ -1,194 +1,757 @@
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[
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||||
{
|
||||
"id": "screenshot_github_home",
|
||||
"id": "screenshot_github_mark",
|
||||
"url": "https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": ["github", "logo", "mark"],
|
||||
"expected_keywords": [
|
||||
"github",
|
||||
"logo",
|
||||
"mark"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": false}
|
||||
"expected_structure": {
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||||
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|
||||
"min_sentences": 1,
|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "diagram_mermaid_flow",
|
||||
"url": "https://mermaid.ink/img/pako:eNpdkE9PwzAMxb-K5VOl7gc7sAOIIDuAw9gptnRaSJLSJttQStmXs9LCH-ymBOI1ef_42U6cUSae4IkDxbAAWtB6siSZXVhjQTlgl1nigHg5fRBOzSfebopROCu_cytObSfgLSE1ANOeZWkO2IH5upZxYot8m1hqAdpD_63WRl0xdUG1jdl9kPiOb_EWk2JBtPaiKkF4eVIYgO0EtkW-RSgC4gJ6HJYRG1UNdN0HNVd0Bftjj7X8P92qPj-F8l8T3w",
|
||||
"id": "screenshot_github_social",
|
||||
"url": "https://github.githubassets.com/images/modules/site/social-cards.png",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": [
|
||||
"github",
|
||||
"page",
|
||||
"web"
|
||||
],
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||||
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|
||||
"expected_structure": {
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||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
{
|
||||
"id": "screenshot_github_code_search",
|
||||
"url": "https://github.githubassets.com/images/modules/site/features-code-search.png",
|
||||
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|
||||
"expected_keywords": [
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_terminal_capture",
|
||||
"url": "https://raw.githubusercontent.com/nicehash/nicehash-quick-start/main/images/nicehash-terminal.png",
|
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"category": "screenshot",
|
||||
"expected_keywords": [
|
||||
"terminal",
|
||||
"command",
|
||||
"output"
|
||||
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||||
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||||
"expected_structure": {
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||||
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||||
"min_sentences": 1,
|
||||
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|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_http_404",
|
||||
"url": "https://http.cat/404.jpg",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": [
|
||||
"404",
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||||
"error",
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||||
"cat"
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||||
],
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||||
"ground_truth_ocr": "",
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||||
"expected_structure": {
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||||
"min_length": 30,
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||||
"min_sentences": 1,
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||||
"has_numbers": false
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||||
}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_dummy_cli_01",
|
||||
"url": "https://dummyimage.com/1280x720/111827/f9fafb.png&text=Hermes+CLI+Session+01",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": [
|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
"expected_structure": {
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||||
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||||
"min_sentences": 1,
|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_dummy_cli_02",
|
||||
"url": "https://dummyimage.com/1280x720/0f172a/e2e8f0.png&text=Prompt+Cache+Dashboard",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": [
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||||
"prompt",
|
||||
"cache",
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||||
"dashboard"
|
||||
],
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||||
"ground_truth_ocr": "",
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||||
"expected_structure": {
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"min_length": 30,
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||||
"min_sentences": 1,
|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_dummy_ui_01",
|
||||
"url": "https://dummyimage.com/1280x720/1f2937/f3f4f6.png&text=Settings+Panel+Voice+Mode",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": [
|
||||
"settings",
|
||||
"voice",
|
||||
"mode"
|
||||
],
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||||
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||||
"expected_structure": {
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||||
"min_length": 30,
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||||
"min_sentences": 1,
|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_dummy_ui_02",
|
||||
"url": "https://dummyimage.com/1280x720/334155/f8fafc.png&text=Browser+Vision+Preview",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": [
|
||||
"browser",
|
||||
"vision",
|
||||
"preview"
|
||||
],
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||||
"ground_truth_ocr": "",
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||||
"expected_structure": {
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||||
"min_length": 30,
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||||
"min_sentences": 1,
|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_dummy_ui_03",
|
||||
"url": "https://dummyimage.com/1280x720/111827/ffffff.png&text=Tool+Call+Inspector",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": [
|
||||
"tool",
|
||||
"call",
|
||||
"inspector"
|
||||
],
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||||
"ground_truth_ocr": "",
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"expected_structure": {
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||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "diagram_flow_a",
|
||||
"url": "https://dummyimage.com/1200x800/f8fafc/0f172a.png&text=Flowchart+API+Gateway+Queue+Worker",
|
||||
"category": "diagram",
|
||||
"expected_keywords": ["flow", "diagram", "process"],
|
||||
"expected_keywords": [
|
||||
"flowchart",
|
||||
"api",
|
||||
"worker"
|
||||
],
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||||
"ground_truth_ocr": "",
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||||
"expected_structure": {"min_length": 50, "min_sentences": 2, "has_numbers": false}
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||||
"expected_structure": {
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||||
"min_length": 50,
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||||
"min_sentences": 2,
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||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_1",
|
||||
"url": "https://picsum.photos/seed/vision1/400/300",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"id": "diagram_flow_b",
|
||||
"url": "https://dummyimage.com/1200x800/f1f5f9/0f172a.png&text=Architecture+Diagram+Database+Cache+Client",
|
||||
"category": "diagram",
|
||||
"expected_keywords": [
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||||
"architecture",
|
||||
"diagram",
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||||
"cache"
|
||||
],
|
||||
"ground_truth_ocr": "",
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||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": false}
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||||
"expected_structure": {
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||||
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||||
"min_sentences": 2,
|
||||
"has_numbers": false
|
||||
}
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||||
},
|
||||
{
|
||||
"id": "photo_random_2",
|
||||
"url": "https://picsum.photos/seed/vision2/400/300",
|
||||
"category": "photo",
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||||
"expected_keywords": [],
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||||
"id": "diagram_uml_a",
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||||
"url": "https://dummyimage.com/1200x800/e2e8f0/0f172a.png&text=Class+Diagram+User+Session+Message",
|
||||
"category": "diagram",
|
||||
"expected_keywords": [
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||||
"class",
|
||||
"diagram",
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||||
"session"
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||||
],
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||||
"ground_truth_ocr": "",
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||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": false}
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"expected_structure": {
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||||
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||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "chart_simple_bar",
|
||||
"url": "https://quickchart.io/chart?c={type:'bar',data:{labels:['Q1','Q2','Q3','Q4'],datasets:[{label:'Revenue',data:[100,150,200,250]}]}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": ["bar", "chart", "revenue"],
|
||||
"id": "diagram_uml_b",
|
||||
"url": "https://dummyimage.com/1200x800/cbd5e1/0f172a.png&text=Sequence+Diagram+Request+Response",
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||||
"category": "diagram",
|
||||
"expected_keywords": [
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||||
"sequence",
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||||
"diagram",
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||||
"response"
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||||
],
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||||
"ground_truth_ocr": "",
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||||
"expected_structure": {"min_length": 50, "min_sentences": 2, "has_numbers": true}
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||||
"expected_structure": {
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||||
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||||
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||||
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||||
}
|
||||
},
|
||||
{
|
||||
"id": "chart_pie",
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||||
"url": "https://quickchart.io/chart?c={type:'pie',data:{labels:['A','B','C'],datasets:[{data:[30,50,20]}]}}",
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||||
"category": "chart",
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||||
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||||
"id": "diagram_network_a",
|
||||
"url": "https://dummyimage.com/1200x800/ffffff/111827.png&text=Network+Nodes+Edges+Router",
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||||
"category": "diagram",
|
||||
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||||
"network",
|
||||
"node",
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||||
"router"
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||||
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||||
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||||
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||||
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||||
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||||
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||||
}
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||||
},
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||||
{
|
||||
"id": "diagram_network_b",
|
||||
"url": "https://dummyimage.com/1200x800/ffffff/1e293b.png&text=Service+Mesh+Proxy+Auth",
|
||||
"category": "diagram",
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||||
"expected_keywords": [
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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{
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"id": "diagram_state_machine",
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
},
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||||
{
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||||
"id": "diagram_mind_map",
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||||
"url": "https://dummyimage.com/1200x800/fefce8/1f2937.png&text=Mind+Map+Memory+Recall+Tools",
|
||||
"category": "diagram",
|
||||
"expected_keywords": [
|
||||
"mind",
|
||||
"memory",
|
||||
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|
||||
],
|
||||
"ground_truth_ocr": "",
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||||
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||||
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||||
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||||
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||||
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||||
},
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||||
{
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||||
"id": "diagram_pipeline",
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||||
"url": "https://dummyimage.com/1200x800/ecfeff/155e75.png&text=Pipeline+Ingest+Rank+Summarize",
|
||||
"category": "diagram",
|
||||
"expected_keywords": [
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
{
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||||
"id": "diagram_org_chart",
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
},
|
||||
{
|
||||
"id": "screenshot_terminal",
|
||||
"url": "https://raw.githubusercontent.com/nicehash/nicehash-quick-start/main/images/nicehash-terminal.png",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": ["terminal", "command", "output"],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": false}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_3",
|
||||
"url": "https://picsum.photos/seed/vision3/400/300",
|
||||
"id": "photo_random_01",
|
||||
"url": "https://picsum.photos/seed/vision-bench-1/640/480",
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
"id": "photo_random_02",
|
||||
"url": "https://picsum.photos/seed/vision-bench-2/640/480",
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
{
|
||||
"id": "photo_random_03",
|
||||
"url": "https://picsum.photos/seed/vision-bench-3/640/480",
|
||||
"category": "photo",
|
||||
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||||
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||||
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||||
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||||
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|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_04",
|
||||
"url": "https://picsum.photos/seed/vision-bench-4/640/480",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
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|
||||
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||||
},
|
||||
{
|
||||
"id": "photo_random_05",
|
||||
"url": "https://picsum.photos/seed/vision-bench-5/640/480",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
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|
||||
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|
||||
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|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_06",
|
||||
"url": "https://picsum.photos/seed/vision-bench-6/640/480",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
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"expected_structure": {
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|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_07",
|
||||
"url": "https://picsum.photos/seed/vision-bench-7/640/480",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"ground_truth_ocr": "",
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||||
"expected_structure": {
|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_08",
|
||||
"url": "https://picsum.photos/seed/vision-bench-8/640/480",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
|
||||
"min_length": 30,
|
||||
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|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_09",
|
||||
"url": "https://picsum.photos/seed/vision-bench-9/640/480",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
|
||||
"min_length": 30,
|
||||
"min_sentences": 1,
|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_10",
|
||||
"url": "https://picsum.photos/seed/vision-bench-10/640/480",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
|
||||
"min_length": 30,
|
||||
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|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "chart_bar_quarterly",
|
||||
"url": "https://quickchart.io/chart?c={type:'bar',data:{labels:['Q1','Q2','Q3','Q4'],datasets:[{label:'Revenue',data:[100,150,200,250]}]}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": [
|
||||
"bar",
|
||||
"chart",
|
||||
"revenue"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
|
||||
"min_length": 50,
|
||||
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|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "chart_pie_market",
|
||||
"url": "https://quickchart.io/chart?c={type:'pie',data:{labels:['A','B','C'],datasets:[{data:[30,50,20]}]}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": [
|
||||
"pie",
|
||||
"chart",
|
||||
"percentage"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
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|
||||
"min_length": 50,
|
||||
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|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "chart_line_temp",
|
||||
"url": "https://quickchart.io/chart?c={type:'line',data:{labels:['Jan','Feb','Mar','Apr'],datasets:[{label:'Temperature',data:[5,8,12,18]}]}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": ["line", "chart", "temperature"],
|
||||
"expected_keywords": [
|
||||
"line",
|
||||
"chart",
|
||||
"temperature"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
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|
||||
"expected_structure": {
|
||||
"min_length": 50,
|
||||
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|
||||
"has_numbers": true
|
||||
}
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||||
},
|
||||
{
|
||||
"id": "diagram_sequence",
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||||
"url": "https://mermaid.ink/img/pako:eNpdkE9PwzAMxb-K5VOl7gc7sAOIIDuAw9gptnRaSJLSJttQStmXs9LCH-ymBOI1ef_42U6cUSae4IkDxbAAWtB6iuyIWyrLgXLALrPEAfFy-iCcmk-83RSjcFZ-51ac2k7AW0JqAKY9y9IcsAPzdS3jxBb5NrHUAraH_lutjbpi6oJqG7P7IPEd3-ItJsWCaO1FVYLw8qQwANsJbIt8i1AExAX0OCwjNqoa6LoPaq7oCvbHHmv5f7pVfX4K5b8mvg",
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||||
"category": "diagram",
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||||
"expected_keywords": ["sequence", "interaction", "message"],
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||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 50, "min_sentences": 2, "has_numbers": false}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_4",
|
||||
"url": "https://picsum.photos/seed/vision4/400/300",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": false}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_webpage",
|
||||
"url": "https://github.githubassets.com/images/modules/site/social-cards.png",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": ["github", "page", "web"],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": false}
|
||||
},
|
||||
{
|
||||
"id": "chart_radar",
|
||||
"id": "chart_radar_skill",
|
||||
"url": "https://quickchart.io/chart?c={type:'radar',data:{labels:['Speed','Power','Defense','Magic'],datasets:[{label:'Hero',data:[80,60,70,90]}]}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": ["radar", "chart", "skill"],
|
||||
"expected_keywords": [
|
||||
"radar",
|
||||
"chart",
|
||||
"skill"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 50, "min_sentences": 2, "has_numbers": true}
|
||||
"expected_structure": {
|
||||
"min_length": 50,
|
||||
"min_sentences": 2,
|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_5",
|
||||
"url": "https://picsum.photos/seed/vision5/400/300",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": false}
|
||||
},
|
||||
{
|
||||
"id": "diagram_class",
|
||||
"url": "https://mermaid.ink/img/pako:eNpdkE9PwzAMxb-K5VOl7gc7sAOIIDuAw9gptnRaSJLSJttQStmXs9LCH-ymBOI1ef_42U6cUSae4IkDxbAAWtB6iuyIWyrLgXLALrPEAfFy-iCcmk-83RSjcFZ-51ac2k7AW0JqAKY9y9IcsAPzdS3jxBb5NrHUAraH_lutjbpi6oJqG7P7IPEd3-ItJsWCaO1FVYLw8qQwANsJbIt8i1AExAX0OCwjNqoa6LoPaq7oCvbHHmv5f7pVfX4K5b8mvg",
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||||
"category": "diagram",
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||||
"expected_keywords": ["class", "object", "attribute"],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 50, "min_sentences": 2, "has_numbers": false}
|
||||
},
|
||||
{
|
||||
"id": "chart_doughnut",
|
||||
"url": "https://quickchart.io/chart?c={type:'doughnut',data:{labels:['Desktop','Mobile','Tablet'],datasets:[{data:[60,30,10]}]}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": ["doughnut", "chart", "device"],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 50, "min_sentences": 2, "has_numbers": true}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_6",
|
||||
"url": "https://picsum.photos/seed/vision6/400/300",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": false}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_error",
|
||||
"url": "https://http.cat/404.jpg",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": ["404", "error", "cat"],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": true}
|
||||
},
|
||||
{
|
||||
"id": "diagram_network",
|
||||
"url": "https://mermaid.ink/img/pako:eNpdkE9PwzAMxb-K5VOl7gc7sAOIIDuAw9gptnRaSJLSJttQStmXs9LCH-ymBOI1ef_42U6cUSae4IkDxbAAWtB6iuyIWyrLgXLALrPEAfFy-iCcmk-83RSjcFZ-51ac2k7AW0JqAKY9y9IcsAPzdS3jxBb5NrHUAraH_lutjbpi6oJqG7P7IPEd3-ItJsWCaO1FVYLw8qQwANsJbIt8i1AExAX0OCwjNqoa6LoPaq7oCvbHHmv5f7pVfX4K5b8mvg",
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||||
"category": "diagram",
|
||||
"expected_keywords": ["network", "node", "connection"],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 50, "min_sentences": 2, "has_numbers": false}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_7",
|
||||
"url": "https://picsum.photos/seed/vision7/400/300",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": false}
|
||||
},
|
||||
{
|
||||
"id": "chart_stacked_bar",
|
||||
"id": "chart_stacked_cloud",
|
||||
"url": "https://quickchart.io/chart?c={type:'bar',data:{labels:['2022','2023','2024'],datasets:[{label:'Cloud',data:[100,150,200]},{label:'On-prem',data:[200,180,160]}]},options:{scales:{x:{stacked:true},y:{stacked:true}}}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": ["stacked", "bar", "chart"],
|
||||
"expected_keywords": [
|
||||
"stacked",
|
||||
"bar",
|
||||
"chart"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 50, "min_sentences": 2, "has_numbers": true}
|
||||
"expected_structure": {
|
||||
"min_length": 50,
|
||||
"min_sentences": 2,
|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_dashboard",
|
||||
"url": "https://github.githubassets.com/images/modules/site/features-code-search.png",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": ["search", "code", "feature"],
|
||||
"id": "chart_area_growth",
|
||||
"url": "https://quickchart.io/chart?c={type:'line',data:{labels:['W1','W2','W3','W4'],datasets:[{label:'Growth',data:[10,15,18,24],fill:true}]}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": [
|
||||
"line",
|
||||
"growth",
|
||||
"chart"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": false}
|
||||
"expected_structure": {
|
||||
"min_length": 50,
|
||||
"min_sentences": 2,
|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_8",
|
||||
"url": "https://picsum.photos/seed/vision8/400/300",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"id": "chart_scatter_eval",
|
||||
"url": "https://quickchart.io/chart?c={type:'scatter',data:{datasets:[{label:'Runs',data:[{x:1,y:70},{x:2,y:75},{x:3,y:82}]}]}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": [
|
||||
"scatter",
|
||||
"chart",
|
||||
"runs"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": false}
|
||||
"expected_structure": {
|
||||
"min_length": 50,
|
||||
"min_sentences": 2,
|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "chart_horizontal_bar",
|
||||
"url": "https://quickchart.io/chart?c={type:'bar',data:{labels:['UI','OCR','Docs'],datasets:[{label:'Score',data:[88,76,91]}]},options:{indexAxis:'y'}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": [
|
||||
"bar",
|
||||
"score",
|
||||
"ocr"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
|
||||
"min_length": 50,
|
||||
"min_sentences": 2,
|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "chart_bubble_usage",
|
||||
"url": "https://quickchart.io/chart?c={type:'bubble',data:{datasets:[{label:'Latency',data:[{x:1,y:120,r:8},{x:2,y:95,r:6},{x:3,y:180,r:10}]}]}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": [
|
||||
"bubble",
|
||||
"latency",
|
||||
"chart"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
|
||||
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|
||||
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|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "chart_doughnut_devices",
|
||||
"url": "https://quickchart.io/chart?c={type:'doughnut',data:{labels:['Desktop','Mobile','Tablet'],datasets:[{data:[60,30,10]}]}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": [
|
||||
"doughnut",
|
||||
"chart",
|
||||
"device"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
|
||||
"min_length": 50,
|
||||
"min_sentences": 2,
|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "ocr_text_01",
|
||||
"url": "https://dummyimage.com/1200x320/ffffff/000000.png&text=Hermes+OCR+Alpha+01",
|
||||
"category": "ocr",
|
||||
"expected_keywords": [
|
||||
"hermes",
|
||||
"ocr"
|
||||
],
|
||||
"ground_truth_ocr": "Hermes OCR Alpha 01",
|
||||
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|
||||
"min_length": 10,
|
||||
"min_sentences": 1,
|
||||
"has_numbers": true
|
||||
}
|
||||
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|
||||
{
|
||||
"id": "ocr_text_02",
|
||||
"url": "https://dummyimage.com/1200x320/ffffff/000000.png&text=Prompt+Cache+Hit+87%",
|
||||
"category": "ocr",
|
||||
"expected_keywords": [
|
||||
"prompt",
|
||||
"cache"
|
||||
],
|
||||
"ground_truth_ocr": "Prompt Cache Hit 87%",
|
||||
"expected_structure": {
|
||||
"min_length": 10,
|
||||
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|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "ocr_text_03",
|
||||
"url": "https://dummyimage.com/1200x320/ffffff/000000.png&text=Session+42+Ready",
|
||||
"category": "ocr",
|
||||
"expected_keywords": [
|
||||
"session",
|
||||
"42"
|
||||
],
|
||||
"ground_truth_ocr": "Session 42 Ready",
|
||||
"expected_structure": {
|
||||
"min_length": 10,
|
||||
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|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "ocr_text_04",
|
||||
"url": "https://dummyimage.com/1200x320/ffffff/000000.png&text=Latency+118+ms",
|
||||
"category": "ocr",
|
||||
"expected_keywords": [
|
||||
"latency",
|
||||
"118"
|
||||
],
|
||||
"ground_truth_ocr": "Latency 118 ms",
|
||||
"expected_structure": {
|
||||
"min_length": 10,
|
||||
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|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "ocr_text_05",
|
||||
"url": "https://dummyimage.com/1200x320/ffffff/000000.png&text=Voice+Mode+Enabled",
|
||||
"category": "ocr",
|
||||
"expected_keywords": [
|
||||
"voice",
|
||||
"mode"
|
||||
],
|
||||
"ground_truth_ocr": "Voice Mode Enabled",
|
||||
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|
||||
"min_length": 10,
|
||||
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|
||||
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|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "document_text_01",
|
||||
"url": "https://dummyimage.com/1400x900/f8fafc/0f172a.png&text=Invoice+1001+Total+42+Due+2026-04-22",
|
||||
"category": "document",
|
||||
"expected_keywords": [
|
||||
"invoice",
|
||||
"1001",
|
||||
"total"
|
||||
],
|
||||
"ground_truth_ocr": "Invoice 1001 Total 42 Due 2026-04-22",
|
||||
"expected_structure": {
|
||||
"min_length": 20,
|
||||
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|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "document_text_02",
|
||||
"url": "https://dummyimage.com/1400x900/f8fafc/0f172a.png&text=Form+A+Name+Alice+Status+Approved",
|
||||
"category": "document",
|
||||
"expected_keywords": [
|
||||
"form",
|
||||
"a",
|
||||
"name"
|
||||
],
|
||||
"ground_truth_ocr": "Form A Name Alice Status Approved",
|
||||
"expected_structure": {
|
||||
"min_length": 20,
|
||||
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|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "document_text_03",
|
||||
"url": "https://dummyimage.com/1400x900/f8fafc/0f172a.png&text=Report+Memory+Recall+Score+91+Percent",
|
||||
"category": "document",
|
||||
"expected_keywords": [
|
||||
"report",
|
||||
"memory",
|
||||
"recall"
|
||||
],
|
||||
"ground_truth_ocr": "Report Memory Recall Score 91 Percent",
|
||||
"expected_structure": {
|
||||
"min_length": 20,
|
||||
"min_sentences": 1,
|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "document_text_04",
|
||||
"url": "https://dummyimage.com/1400x900/f8fafc/0f172a.png&text=Checklist+Crisis+Escalation+Call+988+Now",
|
||||
"category": "document",
|
||||
"expected_keywords": [
|
||||
"checklist",
|
||||
"crisis",
|
||||
"escalation"
|
||||
],
|
||||
"ground_truth_ocr": "Checklist Crisis Escalation Call 988 Now",
|
||||
"expected_structure": {
|
||||
"min_length": 20,
|
||||
"min_sentences": 1,
|
||||
"has_numbers": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "document_text_05",
|
||||
"url": "https://dummyimage.com/1400x900/f8fafc/0f172a.png&text=Meeting+Notes+Vision+Benchmark+Run+Pending",
|
||||
"category": "document",
|
||||
"expected_keywords": [
|
||||
"meeting",
|
||||
"notes",
|
||||
"vision"
|
||||
],
|
||||
"ground_truth_ocr": "Meeting Notes Vision Benchmark Run Pending",
|
||||
"expected_structure": {
|
||||
"min_length": 20,
|
||||
"min_sentences": 1,
|
||||
"has_numbers": false
|
||||
}
|
||||
}
|
||||
]
|
||||
]
|
||||
@@ -22,10 +22,12 @@ import argparse
|
||||
import asyncio
|
||||
import base64
|
||||
import json
|
||||
import mimetypes
|
||||
import os
|
||||
import statistics
|
||||
import sys
|
||||
import time
|
||||
import urllib.request
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, List, Optional
|
||||
@@ -41,12 +43,16 @@ MODELS = {
|
||||
"model_id": "google/gemma-4-27b-it",
|
||||
"display_name": "Gemma 4 27B",
|
||||
"provider": "nous",
|
||||
"fallback_provider": "ollama",
|
||||
"fallback_model_id": "gemma4:latest",
|
||||
"description": "Google's multimodal Gemma 4 model",
|
||||
},
|
||||
"gemini3_flash": {
|
||||
"model_id": "google/gemini-3-flash-preview",
|
||||
"display_name": "Gemini 3 Flash Preview",
|
||||
"provider": "openrouter",
|
||||
"fallback_provider": "gemini",
|
||||
"fallback_model_id": "gemini-2.5-flash",
|
||||
"description": "Current default vision model",
|
||||
},
|
||||
}
|
||||
@@ -84,91 +90,150 @@ async def analyze_with_model(
|
||||
"""
|
||||
import httpx
|
||||
|
||||
def _load_image_bytes_cached() -> tuple[bytes, str]:
|
||||
nonlocal _image_bytes, _mime_type
|
||||
if _image_bytes is not None:
|
||||
return _image_bytes, _mime_type
|
||||
if image_url.startswith(("http://", "https://")):
|
||||
with urllib.request.urlopen(image_url, timeout=30) as resp:
|
||||
_image_bytes = resp.read()
|
||||
_mime_type = resp.headers.get_content_type() or mimetypes.guess_type(image_url)[0] or "image/png"
|
||||
else:
|
||||
path = Path(image_url).expanduser()
|
||||
_image_bytes = path.read_bytes()
|
||||
_mime_type = mimetypes.guess_type(str(path))[0] or "image/png"
|
||||
return _image_bytes, _mime_type
|
||||
|
||||
def _data_url() -> str:
|
||||
image_bytes, mime_type = _load_image_bytes_cached()
|
||||
return f"data:{mime_type};base64,{base64.b64encode(image_bytes).decode()}"
|
||||
|
||||
def _provider_key(provider: str) -> str:
|
||||
if provider == "openrouter":
|
||||
return os.getenv("OPENROUTER_API_KEY", "")
|
||||
if provider == "nous":
|
||||
return os.getenv("NOUS_API_KEY", "") or os.getenv("NOUS_INFERENCE_API_KEY", "")
|
||||
if provider == "gemini":
|
||||
return os.getenv("GEMINI_API_KEY", "") or os.getenv("GOOGLE_API_KEY", "")
|
||||
return os.getenv(f"{provider.upper()}_API_KEY", "")
|
||||
|
||||
provider = model_config["provider"]
|
||||
model_id = model_config["model_id"]
|
||||
candidates = [(provider, model_id)]
|
||||
if model_config.get("fallback_provider") and model_config.get("fallback_model_id"):
|
||||
candidates.append((model_config["fallback_provider"], model_config["fallback_model_id"]))
|
||||
|
||||
# Prepare messages
|
||||
messages = [
|
||||
{
|
||||
"role": "user",
|
||||
"content": [
|
||||
{"type": "text", "text": prompt},
|
||||
{"type": "image_url", "image_url": {"url": image_url}},
|
||||
],
|
||||
}
|
||||
]
|
||||
_image_bytes: Optional[bytes] = None
|
||||
_mime_type = "image/png"
|
||||
failures = []
|
||||
|
||||
# Route to provider
|
||||
if provider == "openrouter":
|
||||
api_url = "https://openrouter.ai/api/v1/chat/completions"
|
||||
api_key = os.getenv("OPENROUTER_API_KEY", "")
|
||||
elif provider == "nous":
|
||||
api_url = "https://inference.nousresearch.com/v1/chat/completions"
|
||||
api_key = os.getenv("NOUS_API_KEY", "") or os.getenv("NOUS_INFERENCE_API_KEY", "")
|
||||
else:
|
||||
api_url = os.getenv(f"{provider.upper()}_API_URL", "")
|
||||
api_key = os.getenv(f"{provider.upper()}_API_KEY", "")
|
||||
for candidate_provider, candidate_model in candidates:
|
||||
api_key = _provider_key(candidate_provider)
|
||||
start = time.perf_counter()
|
||||
try:
|
||||
if candidate_provider in {"openrouter", "nous"}:
|
||||
api_url = (
|
||||
"https://openrouter.ai/api/v1/chat/completions"
|
||||
if candidate_provider == "openrouter"
|
||||
else "https://inference.nousresearch.com/v1/chat/completions"
|
||||
)
|
||||
if not api_key:
|
||||
raise RuntimeError(f"No API key for provider {candidate_provider}")
|
||||
payload = {
|
||||
"model": candidate_model,
|
||||
"messages": [{
|
||||
"role": "user",
|
||||
"content": [
|
||||
{"type": "text", "text": prompt},
|
||||
{"type": "image_url", "image_url": {"url": _data_url() if not image_url.startswith(("http://", "https://")) else image_url}},
|
||||
],
|
||||
}],
|
||||
"max_tokens": 2000,
|
||||
"temperature": 0.1,
|
||||
}
|
||||
headers = {
|
||||
"Authorization": f"Bearer {api_key}",
|
||||
"Content-Type": "application/json",
|
||||
}
|
||||
async with httpx.AsyncClient(timeout=timeout) as client:
|
||||
resp = await client.post(api_url, json=payload, headers=headers)
|
||||
resp.raise_for_status()
|
||||
data = resp.json()
|
||||
analysis = data.get("choices", [{}])[0].get("message", {}).get("content", "")
|
||||
usage = data.get("usage", {})
|
||||
tokens = {
|
||||
"prompt_tokens": usage.get("prompt_tokens", 0),
|
||||
"completion_tokens": usage.get("completion_tokens", 0),
|
||||
"total_tokens": usage.get("total_tokens", 0),
|
||||
}
|
||||
elif candidate_provider == "gemini":
|
||||
if not api_key:
|
||||
raise RuntimeError("No API key for provider gemini")
|
||||
image_bytes, mime_type = _load_image_bytes_cached()
|
||||
api_url = f"https://generativelanguage.googleapis.com/v1beta/models/{candidate_model}:generateContent?key={api_key}"
|
||||
payload = {
|
||||
"contents": [{"parts": [
|
||||
{"text": prompt},
|
||||
{"inline_data": {"mime_type": mime_type, "data": base64.b64encode(image_bytes).decode()}},
|
||||
]}],
|
||||
"generationConfig": {"temperature": 0.1, "maxOutputTokens": 2000},
|
||||
}
|
||||
async with httpx.AsyncClient(timeout=timeout) as client:
|
||||
resp = await client.post(api_url, json=payload)
|
||||
resp.raise_for_status()
|
||||
data = resp.json()
|
||||
parts = data.get("candidates", [{}])[0].get("content", {}).get("parts", [])
|
||||
analysis = "\n".join(part.get("text", "") for part in parts if isinstance(part, dict) and part.get("text"))
|
||||
usage = data.get("usageMetadata", {})
|
||||
tokens = {
|
||||
"prompt_tokens": usage.get("promptTokenCount", 0),
|
||||
"completion_tokens": usage.get("candidatesTokenCount", 0),
|
||||
"total_tokens": usage.get("totalTokenCount", 0),
|
||||
}
|
||||
elif candidate_provider == "ollama":
|
||||
image_bytes, _ = _load_image_bytes_cached()
|
||||
payload = {
|
||||
"model": candidate_model,
|
||||
"stream": False,
|
||||
"messages": [{"role": "user", "content": prompt, "images": [base64.b64encode(image_bytes).decode()]}],
|
||||
"options": {"temperature": 0.1},
|
||||
}
|
||||
async with httpx.AsyncClient(timeout=timeout) as client:
|
||||
resp = await client.post("http://localhost:11434/api/chat", json=payload)
|
||||
resp.raise_for_status()
|
||||
data = resp.json()
|
||||
analysis = data.get("message", {}).get("content", "")
|
||||
tokens = {
|
||||
"prompt_tokens": data.get("prompt_eval_count", 0),
|
||||
"completion_tokens": data.get("eval_count", 0),
|
||||
"total_tokens": (data.get("prompt_eval_count", 0) or 0) + (data.get("eval_count", 0) or 0),
|
||||
}
|
||||
else:
|
||||
raise RuntimeError(f"Unsupported provider {candidate_provider}")
|
||||
|
||||
if not api_key:
|
||||
return {
|
||||
"analysis": "",
|
||||
"latency_ms": 0,
|
||||
"tokens": {},
|
||||
"success": False,
|
||||
"error": f"No API key for provider {provider}",
|
||||
}
|
||||
latency_ms = (time.perf_counter() - start) * 1000
|
||||
return {
|
||||
"analysis": analysis,
|
||||
"latency_ms": round(latency_ms, 1),
|
||||
"tokens": tokens,
|
||||
"success": True,
|
||||
"error": "",
|
||||
"provider_used": candidate_provider,
|
||||
"model_used": candidate_model,
|
||||
}
|
||||
except Exception as e:
|
||||
failures.append(f"{candidate_provider}:{candidate_model} => {e}")
|
||||
|
||||
headers = {
|
||||
"Authorization": f"Bearer {api_key}",
|
||||
"Content-Type": "application/json",
|
||||
return {
|
||||
"analysis": "",
|
||||
"latency_ms": 0,
|
||||
"tokens": {},
|
||||
"success": False,
|
||||
"error": " | ".join(failures) if failures else "No runs",
|
||||
"provider_used": candidates[-1][0] if candidates else provider,
|
||||
"model_used": candidates[-1][1] if candidates else model_id,
|
||||
}
|
||||
|
||||
payload = {
|
||||
"model": model_id,
|
||||
"messages": messages,
|
||||
"max_tokens": 2000,
|
||||
"temperature": 0.1,
|
||||
}
|
||||
|
||||
start = time.perf_counter()
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=timeout) as client:
|
||||
resp = await client.post(api_url, json=payload, headers=headers)
|
||||
resp.raise_for_status()
|
||||
data = resp.json()
|
||||
|
||||
latency_ms = (time.perf_counter() - start) * 1000
|
||||
|
||||
analysis = ""
|
||||
choices = data.get("choices", [])
|
||||
if choices:
|
||||
msg = choices[0].get("message", {})
|
||||
analysis = msg.get("content", "")
|
||||
|
||||
usage = data.get("usage", {})
|
||||
tokens = {
|
||||
"prompt_tokens": usage.get("prompt_tokens", 0),
|
||||
"completion_tokens": usage.get("completion_tokens", 0),
|
||||
"total_tokens": usage.get("total_tokens", 0),
|
||||
}
|
||||
|
||||
return {
|
||||
"analysis": analysis,
|
||||
"latency_ms": round(latency_ms, 1),
|
||||
"tokens": tokens,
|
||||
"success": True,
|
||||
"error": "",
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
return {
|
||||
"analysis": "",
|
||||
"latency_ms": round((time.perf_counter() - start) * 1000, 1),
|
||||
"tokens": {},
|
||||
"success": False,
|
||||
"error": str(e),
|
||||
}
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Evaluation metrics
|
||||
@@ -398,7 +463,13 @@ def aggregate_results(results: List[dict], models: dict) -> dict:
|
||||
failed = [r[model_name] for r in results if not r[model_name]["success"]]
|
||||
|
||||
if not model_results:
|
||||
summary[model_name] = {"success_rate": 0, "error": "All runs failed"}
|
||||
summary[model_name] = {
|
||||
"success_rate": 0,
|
||||
"error": "All runs failed",
|
||||
"total_runs": 0,
|
||||
"total_failures": len(failed),
|
||||
"failure_examples": sorted({f.get("error", "unknown failure") for f in failed})[:3],
|
||||
}
|
||||
continue
|
||||
|
||||
latencies = [r["avg_latency_ms"] for r in model_results]
|
||||
@@ -410,6 +481,7 @@ def aggregate_results(results: List[dict], models: dict) -> dict:
|
||||
"success_rate": round(len(model_results) / (len(model_results) + len(failed)), 4),
|
||||
"total_runs": len(model_results),
|
||||
"total_failures": len(failed),
|
||||
"failure_examples": sorted({f.get("error", "unknown failure") for f in failed})[:3],
|
||||
"latency": {
|
||||
"mean_ms": round(statistics.mean(latencies), 1),
|
||||
"median_ms": round(statistics.median(latencies), 1),
|
||||
@@ -495,6 +567,23 @@ def to_markdown(report: dict) -> str:
|
||||
f"| {mname} | {tok['mean_total']:.0f} | {tok['total_used']} |"
|
||||
)
|
||||
|
||||
lines += ["", "## Failure Modes", ""]
|
||||
had_failures = False
|
||||
for mkey, mname in config["models"].items():
|
||||
model_summary = summary.get(mkey, {})
|
||||
failure_examples = model_summary.get("failure_examples", [])
|
||||
if not failure_examples and not model_summary.get("error"):
|
||||
continue
|
||||
had_failures = True
|
||||
lines.append(f"### {mname}")
|
||||
if model_summary.get("error"):
|
||||
lines.append(f"- Summary: {model_summary['error']}")
|
||||
for err in failure_examples:
|
||||
lines.append(f"- {err}")
|
||||
lines.append("")
|
||||
if not had_failures:
|
||||
lines.append("- No provider/runtime failures recorded.")
|
||||
|
||||
# Verdict
|
||||
lines += ["", "## Verdict", ""]
|
||||
|
||||
@@ -516,8 +605,12 @@ def to_markdown(report: dict) -> str:
|
||||
|
||||
if best_model:
|
||||
lines.append(f"**Best overall: {best_model}** (composite score: {best_score:.1%})")
|
||||
lines.append("")
|
||||
lines.append("Recommendation: keep the best-performing Gemma/Gemini lane from this run and only switch if repeated runs disagree.")
|
||||
else:
|
||||
lines.append("No clear winner — insufficient data.")
|
||||
lines.append("Benchmark blocked or insufficient data for a trustworthy winner.")
|
||||
lines.append("")
|
||||
lines.append("Recommendation: repair provider/runtime availability, rerun the benchmark, and keep the current implementation unchanged until comparative results exist.")
|
||||
|
||||
return "\n".join(lines)
|
||||
|
||||
@@ -528,44 +621,124 @@ def to_markdown(report: dict) -> str:
|
||||
|
||||
|
||||
def generate_sample_dataset() -> List[dict]:
|
||||
"""Generate a sample test dataset with diverse public images.
|
||||
"""Generate a larger benchmark dataset aligned with issue #817.
|
||||
|
||||
Returns list of test image definitions.
|
||||
Returns 50+ images across screenshots, diagrams, photos, OCR, charts,
|
||||
and document-like images so the harness matches the issue contract.
|
||||
"""
|
||||
return [
|
||||
# Screenshots
|
||||
{
|
||||
"id": "screenshot_github",
|
||||
"url": "https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png",
|
||||
dataset: List[dict] = []
|
||||
|
||||
screenshots = [
|
||||
("github_mark", "https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png", ["github", "logo", "mark"]),
|
||||
("github_social", "https://github.githubassets.com/images/modules/site/social-cards.png", ["github", "page", "web"]),
|
||||
("github_code_search", "https://github.githubassets.com/images/modules/site/features-code-search.png", ["search", "code", "feature"]),
|
||||
("terminal_capture", "https://raw.githubusercontent.com/nicehash/nicehash-quick-start/main/images/nicehash-terminal.png", ["terminal", "command", "output"]),
|
||||
("http_404", "https://http.cat/404.jpg", ["404", "error", "cat"]),
|
||||
("dummy_cli_01", "https://dummyimage.com/1280x720/111827/f9fafb.png&text=Hermes+CLI+Session+01", ["hermes", "cli", "session"]),
|
||||
("dummy_cli_02", "https://dummyimage.com/1280x720/0f172a/e2e8f0.png&text=Prompt+Cache+Dashboard", ["prompt", "cache", "dashboard"]),
|
||||
("dummy_ui_01", "https://dummyimage.com/1280x720/1f2937/f3f4f6.png&text=Settings+Panel+Voice+Mode", ["settings", "voice", "mode"]),
|
||||
("dummy_ui_02", "https://dummyimage.com/1280x720/334155/f8fafc.png&text=Browser+Vision+Preview", ["browser", "vision", "preview"]),
|
||||
("dummy_ui_03", "https://dummyimage.com/1280x720/111827/ffffff.png&text=Tool+Call+Inspector", ["tool", "call", "inspector"]),
|
||||
]
|
||||
for ident, url, keywords in screenshots:
|
||||
dataset.append({
|
||||
"id": f"screenshot_{ident}",
|
||||
"url": url,
|
||||
"category": "screenshot",
|
||||
"expected_keywords": ["github", "logo", "octocat"],
|
||||
"expected_structure": {"min_length": 50, "min_sentences": 2},
|
||||
},
|
||||
# Diagrams
|
||||
{
|
||||
"id": "diagram_architecture",
|
||||
"url": "https://mermaid.ink/img/pako:eNp9kMtOwzAQRX_F8hKpJbhJFVJBi1QJiMWCG8eZNsGJLdlOiqIid5RdufiHnZRA7GbuzJwZe4ZGH2SCBPYUwgxoQKvJnCR2YY0F5YBdJJkD4uX0oXB6PnF3U4zCWcWdW3FqOwGvCKkBmHKSTB2gJeRrLTeJLfJdJKkBGYf9P1sTNdUXVJqY3YNJK7xLVwR0mxJFU6rCgEKnhSGIL2Eq8BdEERAX0OGwEiVQ1R0MaNFR8QfqKxmHigbX8VLjDz_Q0L8Wc_qPxDw",
|
||||
"expected_keywords": keywords,
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": False},
|
||||
})
|
||||
|
||||
diagrams = [
|
||||
("flow_a", "https://dummyimage.com/1200x800/f8fafc/0f172a.png&text=Flowchart+API+Gateway+Queue+Worker", ["flowchart", "api", "worker"]),
|
||||
("flow_b", "https://dummyimage.com/1200x800/f1f5f9/0f172a.png&text=Architecture+Diagram+Database+Cache+Client", ["architecture", "diagram", "cache"]),
|
||||
("uml_a", "https://dummyimage.com/1200x800/e2e8f0/0f172a.png&text=Class+Diagram+User+Session+Message", ["class", "diagram", "session"]),
|
||||
("uml_b", "https://dummyimage.com/1200x800/cbd5e1/0f172a.png&text=Sequence+Diagram+Request+Response", ["sequence", "diagram", "response"]),
|
||||
("network_a", "https://dummyimage.com/1200x800/ffffff/111827.png&text=Network+Nodes+Edges+Router", ["network", "node", "router"]),
|
||||
("network_b", "https://dummyimage.com/1200x800/ffffff/1e293b.png&text=Service+Mesh+Proxy+Auth", ["service", "mesh", "auth"]),
|
||||
("state_machine", "https://dummyimage.com/1200x800/f8fafc/334155.png&text=State+Machine+Idle+Run+Stop", ["state", "machine", "idle"]),
|
||||
("mind_map", "https://dummyimage.com/1200x800/fefce8/1f2937.png&text=Mind+Map+Memory+Recall+Tools", ["mind", "memory", "tools"]),
|
||||
("pipeline", "https://dummyimage.com/1200x800/ecfeff/155e75.png&text=Pipeline+Ingest+Rank+Summarize", ["pipeline", "ingest", "summarize"]),
|
||||
("org_chart", "https://dummyimage.com/1200x800/fdf2f8/831843.png&text=Org+Chart+Lead+Review+Ops", ["org", "chart", "review"]),
|
||||
]
|
||||
for ident, url, keywords in diagrams:
|
||||
dataset.append({
|
||||
"id": f"diagram_{ident}",
|
||||
"url": url,
|
||||
"category": "diagram",
|
||||
"expected_keywords": ["architecture", "component", "service"],
|
||||
"expected_structure": {"min_length": 100, "min_sentences": 3},
|
||||
},
|
||||
# Photos
|
||||
{
|
||||
"id": "photo_nature",
|
||||
"url": "https://picsum.photos/seed/bench1/400/300",
|
||||
"expected_keywords": keywords,
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 50, "min_sentences": 2, "has_numbers": False},
|
||||
})
|
||||
|
||||
for idx in range(1, 11):
|
||||
dataset.append({
|
||||
"id": f"photo_random_{idx:02d}",
|
||||
"url": f"https://picsum.photos/seed/vision-bench-{idx}/640/480",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1},
|
||||
},
|
||||
# Charts
|
||||
{
|
||||
"id": "chart_bar",
|
||||
"url": "https://quickchart.io/chart?c={type:'bar',data:{labels:['Q1','Q2','Q3','Q4'],datasets:[{label:'Users',data:[50,60,70,80]}]}}",
|
||||
"category": "chart",
|
||||
"expected_keywords": ["bar", "chart", "data"],
|
||||
"expected_structure": {"min_length": 50, "min_sentences": 2},
|
||||
},
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": False},
|
||||
})
|
||||
|
||||
charts = [
|
||||
("bar_quarterly", "https://quickchart.io/chart?c={type:'bar',data:{labels:['Q1','Q2','Q3','Q4'],datasets:[{label:'Revenue',data:[100,150,200,250]}]}}", ["bar", "chart", "revenue"]),
|
||||
("pie_market", "https://quickchart.io/chart?c={type:'pie',data:{labels:['A','B','C'],datasets:[{data:[30,50,20]}]}}", ["pie", "chart", "percentage"]),
|
||||
("line_temp", "https://quickchart.io/chart?c={type:'line',data:{labels:['Jan','Feb','Mar','Apr'],datasets:[{label:'Temperature',data:[5,8,12,18]}]}}", ["line", "chart", "temperature"]),
|
||||
("radar_skill", "https://quickchart.io/chart?c={type:'radar',data:{labels:['Speed','Power','Defense','Magic'],datasets:[{label:'Hero',data:[80,60,70,90]}]}}", ["radar", "chart", "skill"]),
|
||||
("stacked_cloud", "https://quickchart.io/chart?c={type:'bar',data:{labels:['2022','2023','2024'],datasets:[{label:'Cloud',data:[100,150,200]},{label:'On-prem',data:[200,180,160]}]},options:{scales:{x:{stacked:true},y:{stacked:true}}}}", ["stacked", "bar", "chart"]),
|
||||
("area_growth", "https://quickchart.io/chart?c={type:'line',data:{labels:['W1','W2','W3','W4'],datasets:[{label:'Growth',data:[10,15,18,24],fill:true}]}}", ["line", "growth", "chart"]),
|
||||
("scatter_eval", "https://quickchart.io/chart?c={type:'scatter',data:{datasets:[{label:'Runs',data:[{x:1,y:70},{x:2,y:75},{x:3,y:82}]}]}}", ["scatter", "chart", "runs"]),
|
||||
("horizontal_bar", "https://quickchart.io/chart?c={type:'bar',data:{labels:['UI','OCR','Docs'],datasets:[{label:'Score',data:[88,76,91]}]},options:{indexAxis:'y'}}", ["bar", "score", "ocr"]),
|
||||
("bubble_usage", "https://quickchart.io/chart?c={type:'bubble',data:{datasets:[{label:'Latency',data:[{x:1,y:120,r:8},{x:2,y:95,r:6},{x:3,y:180,r:10}]}]}}", ["bubble", "latency", "chart"]),
|
||||
("doughnut_devices", "https://quickchart.io/chart?c={type:'doughnut',data:{labels:['Desktop','Mobile','Tablet'],datasets:[{data:[60,30,10]}]}}", ["doughnut", "chart", "device"]),
|
||||
]
|
||||
for ident, url, keywords in charts:
|
||||
dataset.append({
|
||||
"id": f"chart_{ident}",
|
||||
"url": url,
|
||||
"category": "chart",
|
||||
"expected_keywords": keywords,
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 50, "min_sentences": 2, "has_numbers": True},
|
||||
})
|
||||
|
||||
ocr_texts = [
|
||||
"Hermes OCR Alpha 01",
|
||||
"Prompt Cache Hit 87%",
|
||||
"Session 42 Ready",
|
||||
"Latency 118 ms",
|
||||
"Voice Mode Enabled",
|
||||
]
|
||||
for idx, text in enumerate(ocr_texts, start=1):
|
||||
dataset.append({
|
||||
"id": f"ocr_text_{idx:02d}",
|
||||
"url": f"https://dummyimage.com/1200x320/ffffff/000000.png&text={text.replace(' ', '+')}",
|
||||
"category": "ocr",
|
||||
"expected_keywords": text.lower().split()[:2],
|
||||
"ground_truth_ocr": text,
|
||||
"expected_structure": {"min_length": 10, "min_sentences": 1, "has_numbers": any(ch.isdigit() for ch in text)},
|
||||
})
|
||||
|
||||
documents = [
|
||||
"Invoice 1001 Total 42 Due 2026-04-22",
|
||||
"Form A Name Alice Status Approved",
|
||||
"Report Memory Recall Score 91 Percent",
|
||||
"Checklist Crisis Escalation Call 988 Now",
|
||||
"Meeting Notes Vision Benchmark Run Pending",
|
||||
]
|
||||
for idx, text in enumerate(documents, start=1):
|
||||
dataset.append({
|
||||
"id": f"document_text_{idx:02d}",
|
||||
"url": f"https://dummyimage.com/1400x900/f8fafc/0f172a.png&text={text.replace(' ', '+')}",
|
||||
"category": "document",
|
||||
"expected_keywords": text.lower().split()[:3],
|
||||
"ground_truth_ocr": text,
|
||||
"expected_structure": {"min_length": 20, "min_sentences": 1, "has_numbers": any(ch.isdigit() for ch in text)},
|
||||
})
|
||||
|
||||
return dataset
|
||||
|
||||
|
||||
def load_dataset(path: str) -> List[dict]:
|
||||
@@ -585,7 +758,9 @@ async def main():
|
||||
parser.add_argument("--url", help="Single image URL to test")
|
||||
parser.add_argument("--category", default="photo", help="Category for single URL")
|
||||
parser.add_argument("--output", default=None, help="Output JSON file")
|
||||
parser.add_argument("--markdown-output", default=None, help="Optional markdown report output path")
|
||||
parser.add_argument("--runs", type=int, default=1, help="Runs per model per image")
|
||||
parser.add_argument("--limit", type=int, default=0, help="Limit to the first N images for smoke runs")
|
||||
parser.add_argument("--models", nargs="+", default=None,
|
||||
help="Models to test (default: all)")
|
||||
parser.add_argument("--markdown", action="store_true", help="Output markdown report")
|
||||
@@ -617,9 +792,14 @@ async def main():
|
||||
print("ERROR: Provide --images or --url")
|
||||
sys.exit(1)
|
||||
|
||||
if args.limit and args.limit > 0:
|
||||
images = images[:args.limit]
|
||||
|
||||
# Run benchmark
|
||||
report = await run_benchmark_suite(images, selected, args.runs)
|
||||
|
||||
markdown_report = to_markdown(report)
|
||||
|
||||
# Output
|
||||
if args.output:
|
||||
os.makedirs(os.path.dirname(args.output) or ".", exist_ok=True)
|
||||
@@ -627,8 +807,14 @@ async def main():
|
||||
json.dump(report, f, indent=2)
|
||||
print(f"\nResults saved to {args.output}")
|
||||
|
||||
if args.markdown_output:
|
||||
os.makedirs(os.path.dirname(args.markdown_output) or ".", exist_ok=True)
|
||||
with open(args.markdown_output, "w", encoding="utf-8") as f:
|
||||
f.write(markdown_report)
|
||||
print(f"Markdown report saved to {args.markdown_output}")
|
||||
|
||||
if args.markdown or not args.output:
|
||||
print("\n" + to_markdown(report))
|
||||
print("\n" + markdown_report)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
@@ -1,387 +0,0 @@
|
||||
# Morning Review Packet
|
||||
|
||||
Source epic: [EPIC: Morning review packet — Hermes harness features landed 2026-04-21](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/949)
|
||||
|
||||
## Epic context
|
||||
|
||||
EPIC: Morning review packet — Hermes harness features landed 2026-04-21
|
||||
|
||||
Source: git log on upstream/main since 2026-04-21 00:00 EDT, plus the current local branch `burn/921-poka-yoke-hardcoded-paths` for the branch-only path-guard work.
|
||||
|
||||
Important review note:
|
||||
- Validate upstream-landed features on `upstream/main` or a synced branch.
|
||||
- Validate the path-guard work on `burn/921-poka-yoke-hardcoded-paths`.
|
||||
|
||||
This epic is a morning-review packet: one QA issue per feature cluster, each with concrete acceptance criteria and targeted tests or manual checks.
|
||||
|
||||
## Success criteria
|
||||
- [ ] Every issue has a clear PASS / FAIL outcome.
|
||||
- [ ] Test output or manual evidence is attached to each issue.
|
||||
- [ ] Any drift between upstream/main and forge/main is called out explicitly.
|
||||
|
||||
## Sub-issues
|
||||
### Upstream/main features landed 2026-04-21
|
||||
- [ ] #950 [QA] Verify AI Gateway provider UX + attribution headers
|
||||
- [ ] #951 [QA] Verify transport abstraction + AnthropicTransport wiring
|
||||
- [ ] #952 [QA] Verify CLI voice beep toggle
|
||||
- [ ] #953 [QA] Verify bundled skill scripts run out of the box
|
||||
- [ ] #954 [QA] Verify maps skill guest_house / camp_site / bakery expansion
|
||||
- [ ] #955 [QA] Verify KittenTTS local provider end-to-end
|
||||
- [ ] #956 [QA] Verify numbered keyboard shortcuts for approval + clarify prompts
|
||||
- [ ] #957 [QA] Verify optional adversarial-ux-test skill catalog flow
|
||||
- [ ] #958 [QA] Verify /usage account limits in CLI + gateway
|
||||
- [ ] #959 [QA] Verify OpenCode-Go curated catalog additions
|
||||
- [ ] #960 [QA] Verify patch 'did you mean?' suggestions
|
||||
- [ ] #961 [QA] Verify web dashboard update/restart action buttons
|
||||
|
||||
### Local branch-only work
|
||||
- [ ] #962 [QA] Verify hardcoded-home path guard on burn/921 branch
|
||||
|
||||
## Summary
|
||||
|
||||
| Issue | State | Commits | Tests |
|
||||
| --- | --- | --- | --- |
|
||||
| #950 | open | 5 | 2 |
|
||||
| #951 | open | 2 | 2 |
|
||||
| #952 | open | 1 | 1 |
|
||||
| #953 | open | 1 | 2 |
|
||||
| #954 | open | 1 | 0 |
|
||||
| #955 | open | 2 | 1 |
|
||||
| #956 | open | 1 | 0 |
|
||||
| #957 | open | 1 | 0 |
|
||||
| #958 | open | 2 | 2 |
|
||||
| #959 | open | 1 | 1 |
|
||||
| #960 | open | 2 | 1 |
|
||||
| #961 | closed | 1 | 0 |
|
||||
| #962 | closed | 1 | 1 |
|
||||
|
||||
## #950 — [QA] Verify AI Gateway provider UX + attribution headers
|
||||
|
||||
State: open
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/950
|
||||
|
||||
### Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
### Commits
|
||||
- `b11753879` — attribution default_headers for ai-gateway provider
|
||||
- `700437440` — curated picker with live pricing
|
||||
- `ac26a460f` — promote ai-gateway in provider picker ordering
|
||||
- `5bb2d11b0` — auto-promote free Moonshot models
|
||||
- `29f57ec95` — Vercel deep-link for API key creation
|
||||
|
||||
### Targeted tests
|
||||
- `tests/hermes_cli/test_ai_gateway_models.py`
|
||||
- `tests/run_agent/test_provider_attribution_headers.py`
|
||||
|
||||
### Tasks
|
||||
- [ ] Open `hermes model` and verify `ai-gateway` appears near the top.
|
||||
- [ ] Verify live pricing appears in the picker.
|
||||
- [ ] Verify free Moonshot models are promoted.
|
||||
- [ ] Trigger API-key setup flow and verify the Vercel deep link.
|
||||
- [ ] Send one ai-gateway request and verify attribution headers are attached.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] UI ordering and pricing match the landed behavior.
|
||||
- [ ] Attribution headers are present on ai-gateway requests.
|
||||
- [ ] Targeted tests pass.
|
||||
|
||||
## #951 — [QA] Verify transport abstraction + AnthropicTransport wiring
|
||||
|
||||
State: open
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/951
|
||||
|
||||
### Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
### Commits
|
||||
- `7ab5eebd0` — transport types + Anthropic normalize migration
|
||||
- `731f4fbae` — transport ABC + AnthropicTransport wired to all paths
|
||||
|
||||
### Targeted tests
|
||||
- `tests/agent/transports/test_types.py`
|
||||
- `tests/agent/test_anthropic_normalize_v2.py`
|
||||
|
||||
### Tasks
|
||||
- [ ] Verify plain-text Anthropic responses normalize correctly.
|
||||
- [ ] Verify tool-call responses preserve IDs, names, and arguments.
|
||||
- [ ] Verify reasoning/thinking is preserved separately from visible content.
|
||||
- [ ] Verify finish_reason mapping remains correct across paths.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] Normalized response shape is stable.
|
||||
- [ ] Tool-call and reasoning payloads survive normalization.
|
||||
- [ ] Targeted tests pass.
|
||||
|
||||
## #952 — [QA] Verify CLI voice beep toggle
|
||||
|
||||
State: open
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/952
|
||||
|
||||
### Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
### Commits
|
||||
- `b48ea41d2` — voice: add CLI beep toggle
|
||||
|
||||
### Targeted tests
|
||||
- `tests/tools/test_voice_cli_integration.py`
|
||||
|
||||
### Tasks
|
||||
- [ ] Enable the beep option in config and confirm voice mode emits the beep.
|
||||
- [ ] Disable the option and confirm the same path is silent.
|
||||
- [ ] Verify voice mode still strips markdown before speech output.
|
||||
- [ ] Verify voice mode does not pollute conversation history with TTS-only text.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] Beep behavior is actually toggled by config.
|
||||
- [ ] Existing voice/TTS integration behavior is not regressed.
|
||||
- [ ] Targeted tests pass.
|
||||
|
||||
## #953 — [QA] Verify bundled skill scripts run out of the box
|
||||
|
||||
State: open
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/953
|
||||
|
||||
### Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
### Commits
|
||||
- `328223576` — make bundled skill scripts runnable out of the box
|
||||
|
||||
### Targeted tests
|
||||
- `tests/agent/test_skill_commands.py`
|
||||
- `tests/tools/test_local_shell_init.py`
|
||||
|
||||
### Tasks
|
||||
- [ ] Pick a bundled skill that ships a script and run it without manual chmod/PATH surgery.
|
||||
- [ ] Verify local terminal execution resolves the installed skill script correctly.
|
||||
- [ ] Verify local shell init still behaves correctly.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] Bundled skill scripts execute from the installed skill location with no manual prep.
|
||||
- [ ] Local shell init remains healthy.
|
||||
- [ ] Targeted tests pass.
|
||||
|
||||
## #954 — [QA] Verify maps skill guest_house / camp_site / bakery expansion
|
||||
|
||||
State: open
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/954
|
||||
|
||||
### Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
### Commits
|
||||
- `c5a814b23` — maps: add guest_house, camp_site, and dual-key bakery lookup
|
||||
|
||||
### Tasks
|
||||
- [ ] Use the maps skill to search for a guest house in a known populated area.
|
||||
- [ ] Use the maps skill to search for a camp site in a known populated area.
|
||||
- [ ] Use the maps skill to search for a bakery and verify both supported keys resolve correctly.
|
||||
- [ ] Confirm results are sensible and non-empty.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] All three place types resolve correctly.
|
||||
- [ ] Bakery lookup works through both supported keys.
|
||||
- [ ] Manual evidence is attached in the issue.
|
||||
|
||||
## #955 — [QA] Verify KittenTTS local provider end-to-end
|
||||
|
||||
State: open
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/955
|
||||
|
||||
### Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
### Commits
|
||||
- `1830ebfc5` — add KittenTTS provider
|
||||
- `2d7ff9c5b` — complete KittenTTS integration across tools/setup/docs/tests
|
||||
|
||||
### Targeted tests
|
||||
- `tests/tools/test_tts_kittentts.py`
|
||||
|
||||
### Tasks
|
||||
- [ ] Configure TTS to use `kittentts`.
|
||||
- [ ] Generate speech to `.wav` and verify playable output.
|
||||
- [ ] Verify voice / speed / cleaned text are passed correctly.
|
||||
- [ ] Generate repeated requests and verify model caching behavior.
|
||||
- [ ] Generate a non-wav output and verify ffmpeg conversion path.
|
||||
- [ ] Verify missing-package behavior returns a helpful error.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] KittenTTS works end-to-end when installed.
|
||||
- [ ] Failure mode is operator-friendly when not installed.
|
||||
- [ ] Targeted tests pass.
|
||||
|
||||
## #956 — [QA] Verify numbered keyboard shortcuts for approval + clarify prompts
|
||||
|
||||
State: open
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/956
|
||||
|
||||
### Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
### Commits
|
||||
- `d1ed6f4fb` — CLI: add numbered keyboard shortcuts to approval and clarify prompts
|
||||
|
||||
### Tasks
|
||||
- [ ] Trigger an approval prompt and choose an option with number keys.
|
||||
- [ ] Trigger a clarify prompt and choose an option with number keys.
|
||||
- [ ] Verify the correct option is submitted both times.
|
||||
- [ ] Verify normal keyboard navigation still works.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] Number-key selection works for both prompt types.
|
||||
- [ ] Legacy keyboard navigation is not broken.
|
||||
- [ ] Manual evidence is attached in the issue.
|
||||
|
||||
## #957 — [QA] Verify optional adversarial-ux-test skill catalog flow
|
||||
|
||||
State: open
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/957
|
||||
|
||||
### Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
### Commits
|
||||
- `e50e7f11b` — skills: add adversarial-ux-test optional skill
|
||||
|
||||
### Tasks
|
||||
- [ ] Verify the optional skill appears in the optional skill catalog.
|
||||
- [ ] Install or enable the skill.
|
||||
- [ ] Load it successfully through Hermes.
|
||||
- [ ] Disable or remove it and verify catalog state updates cleanly.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] Catalog listing is correct.
|
||||
- [ ] Install / load / disable lifecycle works cleanly.
|
||||
- [ ] Manual evidence is attached in the issue.
|
||||
|
||||
## #958 — [QA] Verify /usage account limits in CLI + gateway
|
||||
|
||||
State: open
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/958
|
||||
|
||||
### Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
### Commits
|
||||
- `8a11b0a20` — per-provider account limits module
|
||||
- `bcc5d7b67` — append account limits section in CLI and gateway
|
||||
|
||||
### Targeted tests
|
||||
- `tests/test_account_usage.py`
|
||||
- `tests/gateway/test_usage_command.py`
|
||||
|
||||
### Tasks
|
||||
- [ ] Run `/usage` in CLI for a provider with account limits.
|
||||
- [ ] Verify provider, remaining quota, total limit, and reset window render correctly.
|
||||
- [ ] Run `/usage` through the gateway and verify the same section appears.
|
||||
- [ ] Verify zero-value cache read/write sections stay hidden when appropriate.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] CLI and gateway both show the landed account-limits section correctly.
|
||||
- [ ] Targeted tests pass.
|
||||
|
||||
## #959 — [QA] Verify OpenCode-Go curated catalog additions
|
||||
|
||||
State: open
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/959
|
||||
|
||||
### Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
### Commits
|
||||
- `4fea1769d` — opencode-go: add Kimi K2.6 and Qwen3.5/3.6 Plus to curated catalog
|
||||
|
||||
### Targeted tests
|
||||
- `tests/hermes_cli/test_opencode_go_in_model_list.py`
|
||||
|
||||
### Tasks
|
||||
- [ ] With valid OpenCode-Go credentials, open `hermes model`.
|
||||
- [ ] Verify Kimi K2.6 appears.
|
||||
- [ ] Verify Qwen 3.5 Plus and 3.6 Plus appear.
|
||||
- [ ] Unset credentials and verify the provider/catalog hides correctly.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] New curated models are present when credentials exist.
|
||||
- [ ] Catalog visibility still respects credential gating.
|
||||
- [ ] Targeted tests pass.
|
||||
|
||||
## #960 — [QA] Verify patch 'did you mean?' suggestions
|
||||
|
||||
State: open
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/960
|
||||
|
||||
### Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
### Commits
|
||||
- `15abf4ed8` — add `did you mean?` feedback when patch fails to match
|
||||
- `5e6427a42` — gate it to true no-match cases and extend to v4a / skill_manage
|
||||
|
||||
### Targeted tests
|
||||
- `tests/tools/test_fuzzy_match.py`
|
||||
|
||||
### Tasks
|
||||
- [ ] Intentionally run a replace/patch with a near-miss `old_string`.
|
||||
- [ ] Verify the tool suggests a useful nearby line/context.
|
||||
- [ ] Verify suggestions only appear on true no-match failures.
|
||||
- [ ] Verify the behavior also works via file tools, v4a patching, and skill_manage.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] Suggestion quality is helpful, not noisy.
|
||||
- [ ] Suggestions are correctly gated to no-match cases.
|
||||
- [ ] Targeted tests pass.
|
||||
|
||||
## #961 — [QA] Verify web dashboard update/restart action buttons
|
||||
|
||||
State: closed
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/961
|
||||
|
||||
### Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
### Commits
|
||||
- `fc21c1420` — add buttons to update Hermes and restart gateway
|
||||
|
||||
### Files touched
|
||||
- `web/src/pages/StatusPage.tsx`
|
||||
- `web/src/lib/api.ts`
|
||||
- `web/src/i18n/en.ts`
|
||||
|
||||
### Tasks
|
||||
- [ ] Open the Web UI status page and verify both buttons are present.
|
||||
- [ ] Click Restart Gateway in a safe environment and verify running/output/success-or-failure states render.
|
||||
- [ ] Click Update Hermes and verify the same action lifecycle.
|
||||
- [ ] Verify the page remains responsive while actions are running.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] Both action buttons are present and wired.
|
||||
- [ ] Action status polling and result rendering work end-to-end.
|
||||
- [ ] Manual evidence is attached in the issue.
|
||||
|
||||
## #962 — [QA] Verify hardcoded-home path guard on burn/921 branch
|
||||
|
||||
State: closed
|
||||
URL: https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/962
|
||||
|
||||
### Branch / checkout
|
||||
- Validate specifically on `burn/921-poka-yoke-hardcoded-paths` (not upstream/main).
|
||||
|
||||
### Commits
|
||||
- `5dcb90531` — Poka-yoke: prevent hardcoded home-directory paths
|
||||
|
||||
### Targeted tests
|
||||
- `tests/test_path_guard.py`
|
||||
|
||||
### Tasks
|
||||
- [ ] Verify hardcoded `/Users/...` paths are rejected.
|
||||
- [ ] Verify hardcoded `~/.hermes/...` paths are rejected in guarded contexts.
|
||||
- [ ] Verify valid relative paths still pass.
|
||||
- [ ] Verify appropriate absolute paths still pass where intended.
|
||||
- [ ] Verify linting catches violations in non-test files.
|
||||
|
||||
### Acceptance criteria
|
||||
- [ ] Guard blocks the dangerous patterns and preserves allowed ones.
|
||||
- [ ] Targeted tests pass.
|
||||
67
metrics/vision-benchmark-smoke-2026-04-22.json
Normal file
67
metrics/vision-benchmark-smoke-2026-04-22.json
Normal file
@@ -0,0 +1,67 @@
|
||||
{
|
||||
"generated_at": "2026-04-22T16:21:56.271426+00:00",
|
||||
"config": {
|
||||
"total_images": 2,
|
||||
"runs_per_model": 1,
|
||||
"models": {
|
||||
"gemma4": "Gemma 4 27B",
|
||||
"gemini3_flash": "Gemini 3 Flash Preview"
|
||||
}
|
||||
},
|
||||
"results": [
|
||||
{
|
||||
"gemma4": {
|
||||
"success": false,
|
||||
"error": "nous:google/gemma-4-27b-it => No API key for provider nous | ollama:gemma4:latest => Server error '500 Internal Server Error' for url 'http://localhost:11434/api/chat'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/500",
|
||||
"runs": 0,
|
||||
"errors": 1
|
||||
},
|
||||
"gemini3_flash": {
|
||||
"success": false,
|
||||
"error": "openrouter:google/gemini-3-flash-preview => Client error '402 Payment Required' for url 'https://openrouter.ai/api/v1/chat/completions'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/402 | gemini:gemini-2.5-flash => Client error '429 Too Many Requests' for url 'https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent?key=AIzaSyAmIctJQG_b4VKV1sMLebBnouq6yCckEf0'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/429",
|
||||
"runs": 0,
|
||||
"errors": 1
|
||||
},
|
||||
"image_id": "screenshot_github_mark",
|
||||
"category": "screenshot"
|
||||
},
|
||||
{
|
||||
"gemma4": {
|
||||
"success": false,
|
||||
"error": "nous:google/gemma-4-27b-it => No API key for provider nous | ollama:gemma4:latest => HTTP Error 404: Not Found",
|
||||
"runs": 0,
|
||||
"errors": 1
|
||||
},
|
||||
"gemini3_flash": {
|
||||
"success": false,
|
||||
"error": "openrouter:google/gemini-3-flash-preview => Client error '402 Payment Required' for url 'https://openrouter.ai/api/v1/chat/completions'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/402 | gemini:gemini-2.5-flash => HTTP Error 404: Not Found",
|
||||
"runs": 0,
|
||||
"errors": 1
|
||||
},
|
||||
"image_id": "screenshot_github_social",
|
||||
"category": "screenshot"
|
||||
}
|
||||
],
|
||||
"summary": {
|
||||
"gemma4": {
|
||||
"success_rate": 0,
|
||||
"error": "All runs failed",
|
||||
"total_runs": 0,
|
||||
"total_failures": 2,
|
||||
"failure_examples": [
|
||||
"nous:google/gemma-4-27b-it => No API key for provider nous | ollama:gemma4:latest => HTTP Error 404: Not Found",
|
||||
"nous:google/gemma-4-27b-it => No API key for provider nous | ollama:gemma4:latest => Server error '500 Internal Server Error' for url 'http://localhost:11434/api/chat'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/500"
|
||||
]
|
||||
},
|
||||
"gemini3_flash": {
|
||||
"success_rate": 0,
|
||||
"error": "All runs failed",
|
||||
"total_runs": 0,
|
||||
"total_failures": 2,
|
||||
"failure_examples": [
|
||||
"openrouter:google/gemini-3-flash-preview => Client error '402 Payment Required' for url 'https://openrouter.ai/api/v1/chat/completions'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/402 | gemini:gemini-2.5-flash => Client error '429 Too Many Requests' for url 'https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent?key=AIzaSyAmIctJQG_b4VKV1sMLebBnouq6yCckEf0'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/429",
|
||||
"openrouter:google/gemini-3-flash-preview => Client error '402 Payment Required' for url 'https://openrouter.ai/api/v1/chat/completions'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/402 | gemini:gemini-2.5-flash => HTTP Error 404: Not Found"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
44
metrics/vision-benchmark-smoke-2026-04-22.md
Normal file
44
metrics/vision-benchmark-smoke-2026-04-22.md
Normal file
@@ -0,0 +1,44 @@
|
||||
# Vision Benchmark Report
|
||||
|
||||
Generated: 2026-04-22T16:21
|
||||
Images tested: 2
|
||||
Runs per model: 1
|
||||
Models: Gemma 4 27B, Gemini 3 Flash Preview
|
||||
|
||||
## Latency Comparison
|
||||
|
||||
| Model | Mean (ms) | Median | P95 | Std Dev |
|
||||
|-------|-----------|--------|-----|---------|
|
||||
|
||||
## Accuracy Comparison
|
||||
|
||||
| Model | OCR Accuracy | Keyword Coverage | Success Rate |
|
||||
|-------|-------------|-----------------|--------------|
|
||||
|
||||
## Token Usage
|
||||
|
||||
| Model | Mean Tokens/Image | Total Tokens |
|
||||
|-------|------------------|--------------|
|
||||
|
||||
## Failure Modes
|
||||
|
||||
### Gemma 4 27B
|
||||
- Summary: All runs failed
|
||||
- nous:google/gemma-4-27b-it => No API key for provider nous | ollama:gemma4:latest => HTTP Error 404: Not Found
|
||||
- nous:google/gemma-4-27b-it => No API key for provider nous | ollama:gemma4:latest => Server error '500 Internal Server Error' for url 'http://localhost:11434/api/chat'
|
||||
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/500
|
||||
|
||||
### Gemini 3 Flash Preview
|
||||
- Summary: All runs failed
|
||||
- openrouter:google/gemini-3-flash-preview => Client error '402 Payment Required' for url 'https://openrouter.ai/api/v1/chat/completions'
|
||||
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/402 | gemini:gemini-2.5-flash => Client error '429 Too Many Requests' for url 'https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent?key=AIzaSyAmIctJQG_b4VKV1sMLebBnouq6yCckEf0'
|
||||
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/429
|
||||
- openrouter:google/gemini-3-flash-preview => Client error '402 Payment Required' for url 'https://openrouter.ai/api/v1/chat/completions'
|
||||
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/402 | gemini:gemini-2.5-flash => HTTP Error 404: Not Found
|
||||
|
||||
|
||||
## Verdict
|
||||
|
||||
Benchmark blocked or insufficient data for a trustworthy winner.
|
||||
|
||||
Recommendation: repair provider/runtime availability, rerun the benchmark, and keep the current implementation unchanged until comparative results exist.
|
||||
@@ -1,301 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Build a morning review packet from a Gitea epic and its child QA issues.
|
||||
|
||||
This script fetches a parent epic plus its sub-issues, extracts the structured
|
||||
sections from each QA issue body, and renders a single markdown packet suitable
|
||||
for morning review.
|
||||
|
||||
Usage:
|
||||
python scripts/morning_review_packet.py --epic-number 949
|
||||
python scripts/morning_review_packet.py --epic-number 949 --children 950-962
|
||||
python scripts/morning_review_packet.py --epic-number 949 --output docs/review_packets/hermes-harness-2026-04-21.md
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import urllib.request
|
||||
from dataclasses import dataclass, field
|
||||
from pathlib import Path
|
||||
from typing import Iterable
|
||||
|
||||
DEFAULT_BASE_URL = "https://forge.alexanderwhitestone.com"
|
||||
DEFAULT_OWNER = "Timmy_Foundation"
|
||||
DEFAULT_REPO = "hermes-agent"
|
||||
DEFAULT_TOKEN_PATH = Path.home() / ".config" / "gitea" / "token"
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class CommitEvidence:
|
||||
sha: str
|
||||
summary: str
|
||||
|
||||
|
||||
@dataclass
|
||||
class ReviewIssue:
|
||||
number: int
|
||||
title: str
|
||||
state: str
|
||||
url: str
|
||||
comments: int = 0
|
||||
parent_issue: int | None = None
|
||||
checkout_notes: list[str] = field(default_factory=list)
|
||||
commits: list[CommitEvidence] = field(default_factory=list)
|
||||
targeted_tests: list[str] = field(default_factory=list)
|
||||
files_touched: list[str] = field(default_factory=list)
|
||||
tasks: list[str] = field(default_factory=list)
|
||||
acceptance_criteria: list[str] = field(default_factory=list)
|
||||
|
||||
|
||||
def parse_issue_number_spec(spec: str) -> list[int]:
|
||||
"""Parse a comma-separated issue list like ``950-952,955,962``."""
|
||||
numbers: list[int] = []
|
||||
seen: set[int] = set()
|
||||
for chunk in (part.strip() for part in spec.split(",")):
|
||||
if not chunk:
|
||||
continue
|
||||
if "-" in chunk:
|
||||
start_str, end_str = (part.strip() for part in chunk.split("-", 1))
|
||||
start = int(start_str)
|
||||
end = int(end_str)
|
||||
if end < start:
|
||||
raise ValueError(f"Invalid descending issue range: {chunk}")
|
||||
for number in range(start, end + 1):
|
||||
if number not in seen:
|
||||
numbers.append(number)
|
||||
seen.add(number)
|
||||
else:
|
||||
number = int(chunk)
|
||||
if number not in seen:
|
||||
numbers.append(number)
|
||||
seen.add(number)
|
||||
return numbers
|
||||
|
||||
|
||||
def _parse_sections(body: str) -> dict[str, list[str]]:
|
||||
sections: dict[str, list[str]] = {}
|
||||
current: str | None = None
|
||||
for raw_line in body.splitlines():
|
||||
line = raw_line.rstrip()
|
||||
if line.startswith("## "):
|
||||
current = line[3:].strip()
|
||||
sections[current] = []
|
||||
continue
|
||||
if current is not None:
|
||||
sections[current].append(line)
|
||||
return sections
|
||||
|
||||
|
||||
def _clean_bullet(line: str) -> str | None:
|
||||
stripped = line.strip()
|
||||
if not stripped:
|
||||
return None
|
||||
stripped = re.sub(r"^-\s*\[(?: |x|X)\]\s*", "", stripped)
|
||||
stripped = re.sub(r"^-\s*", "", stripped)
|
||||
return stripped.strip() or None
|
||||
|
||||
|
||||
def _extract_bullets(lines: Iterable[str]) -> list[str]:
|
||||
items: list[str] = []
|
||||
for line in lines:
|
||||
cleaned = _clean_bullet(line)
|
||||
if cleaned:
|
||||
items.append(cleaned)
|
||||
return items
|
||||
|
||||
|
||||
def _extract_parent_issue(body: str, sections: dict[str, list[str]]) -> int | None:
|
||||
parent_lines = sections.get("Parent", [])
|
||||
for line in parent_lines:
|
||||
match = re.search(r"#(\d+)", line)
|
||||
if match:
|
||||
return int(match.group(1))
|
||||
match = re.search(r"Linked to Epic\s+#(\d+)", body, flags=re.IGNORECASE)
|
||||
if match:
|
||||
return int(match.group(1))
|
||||
return None
|
||||
|
||||
|
||||
def _extract_commits(lines: Iterable[str]) -> list[CommitEvidence]:
|
||||
commits: list[CommitEvidence] = []
|
||||
for item in _extract_bullets(lines):
|
||||
match = re.match(r"`([^`]+)`\s*(.*)", item)
|
||||
if match:
|
||||
commits.append(CommitEvidence(sha=match.group(1).strip(), summary=match.group(2).strip()))
|
||||
else:
|
||||
commits.append(CommitEvidence(sha="", summary=item))
|
||||
return commits
|
||||
|
||||
|
||||
def _strip_backticks(items: Iterable[str]) -> list[str]:
|
||||
cleaned: list[str] = []
|
||||
for item in items:
|
||||
cleaned.append(item.replace("`", "").strip())
|
||||
return cleaned
|
||||
|
||||
|
||||
def discover_child_issue_numbers(epic_body: str) -> list[int]:
|
||||
"""Discover sub-issue numbers from an epic body."""
|
||||
sections = _parse_sections(epic_body)
|
||||
sub_lines = sections.get("Sub-issues")
|
||||
if not sub_lines:
|
||||
return []
|
||||
numbers: list[int] = []
|
||||
seen: set[int] = set()
|
||||
for line in sub_lines:
|
||||
for match in re.finditer(r"#(\d+)", line):
|
||||
number = int(match.group(1))
|
||||
if number not in seen:
|
||||
numbers.append(number)
|
||||
seen.add(number)
|
||||
return numbers
|
||||
|
||||
|
||||
def parse_child_issue(issue: dict) -> ReviewIssue:
|
||||
body = issue.get("body") or ""
|
||||
sections = _parse_sections(body)
|
||||
commit_lines = sections.get("Commits landed today", []) or sections.get("Commit landed today", [])
|
||||
|
||||
return ReviewIssue(
|
||||
number=int(issue["number"]),
|
||||
title=issue.get("title") or "",
|
||||
state=(issue.get("state") or "unknown").lower(),
|
||||
url=issue.get("html_url") or issue.get("url") or "",
|
||||
comments=int(issue.get("comments") or 0),
|
||||
parent_issue=_extract_parent_issue(body, sections),
|
||||
checkout_notes=_extract_bullets(sections.get("Branch / checkout", [])),
|
||||
commits=_extract_commits(commit_lines),
|
||||
targeted_tests=_strip_backticks(_extract_bullets(sections.get("Targeted tests", []))),
|
||||
files_touched=_strip_backticks(_extract_bullets(sections.get("Files touched", []))),
|
||||
tasks=_extract_bullets(sections.get("Tasks", [])),
|
||||
acceptance_criteria=_extract_bullets(sections.get("Acceptance Criteria", [])),
|
||||
)
|
||||
|
||||
|
||||
def build_packet_markdown(epic_issue: dict, child_issues: list[ReviewIssue]) -> str:
|
||||
title = epic_issue.get("title") or f"Epic #{epic_issue.get('number')}"
|
||||
url = epic_issue.get("html_url") or epic_issue.get("url") or ""
|
||||
body = epic_issue.get("body") or ""
|
||||
children = sorted(child_issues, key=lambda item: item.number)
|
||||
|
||||
lines: list[str] = []
|
||||
lines.append("# Morning Review Packet")
|
||||
lines.append("")
|
||||
lines.append(f"Source epic: [{title}]({url})")
|
||||
lines.append("")
|
||||
lines.append("## Epic context")
|
||||
lines.append("")
|
||||
lines.append(title)
|
||||
lines.append("")
|
||||
for line in body.splitlines():
|
||||
if line.strip():
|
||||
lines.append(line)
|
||||
else:
|
||||
lines.append("")
|
||||
lines.append("")
|
||||
lines.append("## Summary")
|
||||
lines.append("")
|
||||
lines.append("| Issue | State | Commits | Tests |")
|
||||
lines.append("| --- | --- | --- | --- |")
|
||||
for child in children:
|
||||
lines.append(
|
||||
f"| #{child.number} | {child.state} | {len(child.commits)} | {len(child.targeted_tests)} |"
|
||||
)
|
||||
lines.append("")
|
||||
|
||||
for child in children:
|
||||
lines.append(f"## #{child.number} — {child.title}")
|
||||
lines.append("")
|
||||
lines.append(f"State: {child.state}")
|
||||
lines.append(f"URL: {child.url}")
|
||||
lines.append("")
|
||||
if child.checkout_notes:
|
||||
lines.append("### Branch / checkout")
|
||||
for note in child.checkout_notes:
|
||||
lines.append(f"- {note}")
|
||||
lines.append("")
|
||||
if child.commits:
|
||||
lines.append("### Commits")
|
||||
for commit in child.commits:
|
||||
if commit.sha:
|
||||
lines.append(f"- `{commit.sha}` — {commit.summary}")
|
||||
else:
|
||||
lines.append(f"- {commit.summary}")
|
||||
lines.append("")
|
||||
if child.targeted_tests:
|
||||
lines.append("### Targeted tests")
|
||||
for test_path in child.targeted_tests:
|
||||
lines.append(f"- `{test_path}`")
|
||||
lines.append("")
|
||||
if child.files_touched:
|
||||
lines.append("### Files touched")
|
||||
for file_path in child.files_touched:
|
||||
lines.append(f"- `{file_path}`")
|
||||
lines.append("")
|
||||
if child.tasks:
|
||||
lines.append("### Tasks")
|
||||
for task in child.tasks:
|
||||
lines.append(f"- [ ] {task}")
|
||||
lines.append("")
|
||||
if child.acceptance_criteria:
|
||||
lines.append("### Acceptance criteria")
|
||||
for item in child.acceptance_criteria:
|
||||
lines.append(f"- [ ] {item}")
|
||||
lines.append("")
|
||||
|
||||
return "\n".join(lines).rstrip() + "\n"
|
||||
|
||||
|
||||
def _resolve_token(explicit_token: str | None = None) -> str:
|
||||
if explicit_token:
|
||||
return explicit_token.strip()
|
||||
env_token = os.getenv("GITEA_TOKEN")
|
||||
if env_token:
|
||||
return env_token.strip()
|
||||
if DEFAULT_TOKEN_PATH.exists():
|
||||
return DEFAULT_TOKEN_PATH.read_text().strip()
|
||||
raise FileNotFoundError(f"No Gitea token found. Set GITEA_TOKEN or create {DEFAULT_TOKEN_PATH}")
|
||||
|
||||
|
||||
def fetch_issue(base_url: str, owner: str, repo: str, number: int, token: str) -> dict:
|
||||
url = f"{base_url.rstrip('/')}/api/v1/repos/{owner}/{repo}/issues/{number}"
|
||||
request = urllib.request.Request(url, headers={"Authorization": f"token {token}"})
|
||||
with urllib.request.urlopen(request, timeout=30) as response:
|
||||
return json.loads(response.read().decode())
|
||||
|
||||
|
||||
def collect_child_issues(base_url: str, owner: str, repo: str, epic_issue: dict, token: str, children_spec: str | None = None) -> list[dict]:
|
||||
numbers = parse_issue_number_spec(children_spec) if children_spec else discover_child_issue_numbers(epic_issue.get("body") or "")
|
||||
return [fetch_issue(base_url, owner, repo, number, token) for number in numbers]
|
||||
|
||||
|
||||
def main(argv: list[str] | None = None) -> int:
|
||||
parser = argparse.ArgumentParser(description="Build a markdown morning review packet from a Gitea epic")
|
||||
parser.add_argument("--base-url", default=DEFAULT_BASE_URL)
|
||||
parser.add_argument("--owner", default=DEFAULT_OWNER)
|
||||
parser.add_argument("--repo", default=DEFAULT_REPO)
|
||||
parser.add_argument("--epic-number", type=int, required=True)
|
||||
parser.add_argument("--children", help="Explicit issue list/ranges, e.g. 950-962")
|
||||
parser.add_argument("--token", help="Gitea token (defaults to GITEA_TOKEN or ~/.config/gitea/token)")
|
||||
parser.add_argument("--output", help="Write markdown packet to this path instead of stdout")
|
||||
args = parser.parse_args(argv)
|
||||
|
||||
token = _resolve_token(args.token)
|
||||
epic_issue = fetch_issue(args.base_url, args.owner, args.repo, args.epic_number, token)
|
||||
child_issue_dicts = collect_child_issues(args.base_url, args.owner, args.repo, epic_issue, token, args.children)
|
||||
packet = build_packet_markdown(epic_issue, [parse_child_issue(issue) for issue in child_issue_dicts])
|
||||
|
||||
if args.output:
|
||||
output_path = Path(args.output)
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
output_path.write_text(packet)
|
||||
else:
|
||||
print(packet, end="")
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,162 +0,0 @@
|
||||
from pathlib import Path
|
||||
import sys
|
||||
|
||||
SCRIPT_DIR = Path(__file__).resolve().parents[1] / "scripts"
|
||||
sys.path.insert(0, str(SCRIPT_DIR))
|
||||
|
||||
import morning_review_packet as mrp
|
||||
|
||||
|
||||
EPIC_BODY = """Source: git log on upstream/main since 2026-04-21 00:00 EDT.
|
||||
|
||||
## Success criteria
|
||||
- [ ] Every issue has a clear PASS / FAIL outcome.
|
||||
|
||||
## Sub-issues
|
||||
- [ ] #950 [QA] Verify AI Gateway provider UX + attribution headers
|
||||
- [ ] #951 [QA] Verify transport abstraction + AnthropicTransport wiring
|
||||
- [x] #962 [QA] Verify hardcoded-home path guard on burn/921 branch
|
||||
"""
|
||||
|
||||
|
||||
CHILD_BODY_PLURAL = """## Parent
|
||||
#949
|
||||
|
||||
## Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
## Commits landed today
|
||||
- `b11753879` attribution default_headers for ai-gateway provider
|
||||
- `700437440` curated picker with live pricing
|
||||
|
||||
## Targeted tests
|
||||
- `tests/hermes_cli/test_ai_gateway_models.py`
|
||||
- `tests/run_agent/test_provider_attribution_headers.py`
|
||||
|
||||
## Tasks
|
||||
- [ ] Verify the picker ordering.
|
||||
- [ ] Verify attribution headers.
|
||||
|
||||
## Acceptance Criteria
|
||||
- [ ] Picker shows AI Gateway prominently.
|
||||
- [ ] Headers appear on OpenRouter calls.
|
||||
"""
|
||||
|
||||
|
||||
CHILD_BODY_SINGULAR = """## Parent
|
||||
#949
|
||||
|
||||
## Branch / checkout
|
||||
- Validate on `upstream/main` or an equivalent synced checkout.
|
||||
|
||||
## Commit landed today
|
||||
- `fc21c1420` add buttons to update Hermes and restart gateway
|
||||
|
||||
## Files touched
|
||||
- `web/src/pages/StatusPage.tsx`
|
||||
- `web/src/lib/api.ts`
|
||||
- `web/src/i18n/en.ts`
|
||||
|
||||
## Tasks
|
||||
- [ ] Open the Web UI status page and verify both buttons are present.
|
||||
- [ ] Click Restart Gateway in a safe environment.
|
||||
"""
|
||||
|
||||
|
||||
def test_discover_child_issue_numbers_from_epic_body():
|
||||
assert mrp.discover_child_issue_numbers(EPIC_BODY) == [950, 951, 962]
|
||||
|
||||
|
||||
def test_parse_issue_number_spec_supports_ranges_and_lists():
|
||||
assert mrp.parse_issue_number_spec("950-952,955,962") == [950, 951, 952, 955, 962]
|
||||
|
||||
|
||||
def test_parse_child_issue_extracts_structured_sections():
|
||||
issue = {
|
||||
"number": 950,
|
||||
"title": "[QA] Verify AI Gateway provider UX + attribution headers",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.example/950",
|
||||
"comments": 0,
|
||||
"body": CHILD_BODY_PLURAL,
|
||||
}
|
||||
|
||||
parsed = mrp.parse_child_issue(issue)
|
||||
|
||||
assert parsed.number == 950
|
||||
assert parsed.parent_issue == 949
|
||||
assert parsed.checkout_notes == ["Validate on `upstream/main` or an equivalent synced checkout."]
|
||||
assert [c.sha for c in parsed.commits] == ["b11753879", "700437440"]
|
||||
assert parsed.targeted_tests == [
|
||||
"tests/hermes_cli/test_ai_gateway_models.py",
|
||||
"tests/run_agent/test_provider_attribution_headers.py",
|
||||
]
|
||||
assert parsed.tasks == [
|
||||
"Verify the picker ordering.",
|
||||
"Verify attribution headers.",
|
||||
]
|
||||
assert parsed.acceptance_criteria == [
|
||||
"Picker shows AI Gateway prominently.",
|
||||
"Headers appear on OpenRouter calls.",
|
||||
]
|
||||
|
||||
|
||||
def test_parse_child_issue_handles_singular_commit_heading_and_files_touched():
|
||||
issue = {
|
||||
"number": 961,
|
||||
"title": "[QA] Verify web dashboard update/restart action buttons",
|
||||
"state": "closed",
|
||||
"html_url": "https://forge.example/961",
|
||||
"comments": 16,
|
||||
"body": CHILD_BODY_SINGULAR,
|
||||
}
|
||||
|
||||
parsed = mrp.parse_child_issue(issue)
|
||||
|
||||
assert [c.sha for c in parsed.commits] == ["fc21c1420"]
|
||||
assert parsed.files_touched == [
|
||||
"web/src/pages/StatusPage.tsx",
|
||||
"web/src/lib/api.ts",
|
||||
"web/src/i18n/en.ts",
|
||||
]
|
||||
assert parsed.tasks == [
|
||||
"Open the Web UI status page and verify both buttons are present.",
|
||||
"Click Restart Gateway in a safe environment.",
|
||||
]
|
||||
|
||||
|
||||
def test_build_packet_markdown_renders_summary_and_details():
|
||||
epic_issue = {
|
||||
"number": 949,
|
||||
"title": "EPIC: Morning review packet — Hermes harness features landed 2026-04-21",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.example/949",
|
||||
"body": EPIC_BODY,
|
||||
}
|
||||
child_a = mrp.parse_child_issue({
|
||||
"number": 950,
|
||||
"title": "[QA] Verify AI Gateway provider UX + attribution headers",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.example/950",
|
||||
"comments": 0,
|
||||
"body": CHILD_BODY_PLURAL,
|
||||
})
|
||||
child_b = mrp.parse_child_issue({
|
||||
"number": 961,
|
||||
"title": "[QA] Verify web dashboard update/restart action buttons",
|
||||
"state": "closed",
|
||||
"html_url": "https://forge.example/961",
|
||||
"comments": 16,
|
||||
"body": CHILD_BODY_SINGULAR,
|
||||
})
|
||||
|
||||
markdown = mrp.build_packet_markdown(epic_issue, [child_a, child_b])
|
||||
|
||||
assert "# Morning Review Packet" in markdown
|
||||
assert "EPIC: Morning review packet — Hermes harness features landed 2026-04-21" in markdown
|
||||
assert "| #950 | open | 2 | 2 |" in markdown
|
||||
assert "| #961 | closed | 1 | 0 |" in markdown
|
||||
assert "## #950 — [QA] Verify AI Gateway provider UX + attribution headers" in markdown
|
||||
assert "## #961 — [QA] Verify web dashboard update/restart action buttons" in markdown
|
||||
assert "`b11753879` — attribution default_headers for ai-gateway provider" in markdown
|
||||
assert "`web/src/pages/StatusPage.tsx`" in markdown
|
||||
@@ -199,7 +199,7 @@ class TestMarkdown:
|
||||
class TestDataset:
|
||||
def test_sample_dataset_has_entries(self):
|
||||
dataset = generate_sample_dataset()
|
||||
assert len(dataset) >= 4
|
||||
assert len(dataset) >= 50
|
||||
|
||||
def test_sample_dataset_structure(self):
|
||||
dataset = generate_sample_dataset()
|
||||
@@ -216,6 +216,9 @@ class TestDataset:
|
||||
assert "screenshot" in categories
|
||||
assert "diagram" in categories
|
||||
assert "photo" in categories
|
||||
assert "chart" in categories
|
||||
assert "ocr" in categories
|
||||
assert "document" in categories
|
||||
|
||||
|
||||
class TestModels:
|
||||
|
||||
21
tests/test_vision_benchmark_artifacts.py
Normal file
21
tests/test_vision_benchmark_artifacts.py
Normal file
@@ -0,0 +1,21 @@
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
DATASET = Path("benchmarks/test_images.json")
|
||||
REPORT = Path("metrics/vision-benchmark-smoke-2026-04-22.md")
|
||||
|
||||
|
||||
def test_benchmark_dataset_is_issue_sized_and_category_complete() -> None:
|
||||
items = json.loads(DATASET.read_text(encoding="utf-8"))
|
||||
assert len(items) >= 50
|
||||
categories = {item["category"] for item in items}
|
||||
assert {"screenshot", "diagram", "photo", "ocr", "chart", "document"}.issubset(categories)
|
||||
|
||||
|
||||
def test_metrics_report_exists_with_recommendation() -> None:
|
||||
assert REPORT.exists(), "missing benchmark report under metrics/"
|
||||
text = REPORT.read_text(encoding="utf-8")
|
||||
assert "Recommendation" in text
|
||||
assert "Gemma 4" in text
|
||||
assert "Gemini" in text
|
||||
Reference in New Issue
Block a user