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": {
|
||||
"min_length": 30,
|
||||
"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"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
|
||||
"min_length": 30,
|
||||
"min_sentences": 1,
|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_github_code_search",
|
||||
"url": "https://github.githubassets.com/images/modules/site/features-code-search.png",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": [
|
||||
"search",
|
||||
"code",
|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_terminal_capture",
|
||||
"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": {
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||||
"min_length": 30,
|
||||
"min_sentences": 1,
|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "screenshot_http_404",
|
||||
"url": "https://http.cat/404.jpg",
|
||||
"category": "screenshot",
|
||||
"expected_keywords": [
|
||||
"404",
|
||||
"error",
|
||||
"cat"
|
||||
],
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||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
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||||
"min_length": 30,
|
||||
"min_sentences": 1,
|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"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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|
||||
"cli",
|
||||
"session"
|
||||
],
|
||||
"ground_truth_ocr": "",
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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": [
|
||||
"prompt",
|
||||
"cache",
|
||||
"dashboard"
|
||||
],
|
||||
"ground_truth_ocr": "",
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||||
"expected_structure": {
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||||
"min_length": 30,
|
||||
"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"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
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||||
"min_length": 30,
|
||||
"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"
|
||||
],
|
||||
"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"
|
||||
],
|
||||
"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": "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"
|
||||
],
|
||||
"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": [
|
||||
"architecture",
|
||||
"diagram",
|
||||
"cache"
|
||||
],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {"min_length": 30, "min_sentences": 1, "has_numbers": false}
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||||
"expected_structure": {
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||||
"min_length": 50,
|
||||
"min_sentences": 2,
|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_2",
|
||||
"url": "https://picsum.photos/seed/vision2/400/300",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"id": "diagram_uml_a",
|
||||
"url": "https://dummyimage.com/1200x800/e2e8f0/0f172a.png&text=Class+Diagram+User+Session+Message",
|
||||
"category": "diagram",
|
||||
"expected_keywords": [
|
||||
"class",
|
||||
"diagram",
|
||||
"session"
|
||||
],
|
||||
"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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||||
"min_length": 50,
|
||||
"min_sentences": 2,
|
||||
"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",
|
||||
"category": "diagram",
|
||||
"expected_keywords": [
|
||||
"sequence",
|
||||
"diagram",
|
||||
"response"
|
||||
],
|
||||
"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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||||
"min_sentences": 2,
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||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "chart_pie",
|
||||
"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"],
|
||||
"id": "diagram_network_a",
|
||||
"url": "https://dummyimage.com/1200x800/ffffff/111827.png&text=Network+Nodes+Edges+Router",
|
||||
"category": "diagram",
|
||||
"expected_keywords": [
|
||||
"network",
|
||||
"node",
|
||||
"router"
|
||||
],
|
||||
"ground_truth_ocr": "",
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||||
"expected_structure": {"min_length": 50, "min_sentences": 2, "has_numbers": true}
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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",
|
||||
"expected_keywords": [
|
||||
"service",
|
||||
"mesh",
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||||
"auth"
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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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||||
"url": "https://dummyimage.com/1200x800/f8fafc/334155.png&text=State+Machine+Idle+Run+Stop",
|
||||
"category": "diagram",
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||||
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|
||||
"state",
|
||||
"machine",
|
||||
"idle"
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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",
|
||||
"url": "https://dummyimage.com/1200x800/fefce8/1f2937.png&text=Mind+Map+Memory+Recall+Tools",
|
||||
"category": "diagram",
|
||||
"expected_keywords": [
|
||||
"mind",
|
||||
"memory",
|
||||
"tools"
|
||||
],
|
||||
"ground_truth_ocr": "",
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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": "diagram_pipeline",
|
||||
"url": "https://dummyimage.com/1200x800/ecfeff/155e75.png&text=Pipeline+Ingest+Rank+Summarize",
|
||||
"category": "diagram",
|
||||
"expected_keywords": [
|
||||
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|
||||
"ingest",
|
||||
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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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|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "diagram_org_chart",
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||||
"url": "https://mermaid.ink/img/pako:eNpdkE9PwzAMxb-K5VOl7gc7sAOIIDuAw9gptnRaSJLSJttQStmXs9LCH-ymBOI1ef_42U6cUSae4IkDxbAAWtB6iuyIWyrLgXLALrPEAfFy-iCcmk-83RSjcFZ-51ac2k7AW0JqAKY9y9IcsAPzdS3jxBb5NrHUAraH_lutjbpi6oJqG7P7IPEd3-ItJsWCaO1FVYLw8qQwANsJbIt8i1AExAX0OCwjNqoa6LoPaq7oCvbHHmv5f7pVfX4K5b8mvg",
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"url": "https://dummyimage.com/1200x800/fdf2f8/831843.png&text=Org+Chart+Lead+Review+Ops",
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||||
"category": "diagram",
|
||||
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|
||||
"expected_keywords": [
|
||||
"org",
|
||||
"chart",
|
||||
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|
||||
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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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|
||||
},
|
||||
{
|
||||
"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",
|
||||
"category": "photo",
|
||||
"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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|
||||
{
|
||||
"id": "chart_line",
|
||||
"id": "photo_random_02",
|
||||
"url": "https://picsum.photos/seed/vision-bench-2/640/480",
|
||||
"category": "photo",
|
||||
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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",
|
||||
"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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|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_04",
|
||||
"url": "https://picsum.photos/seed/vision-bench-4/640/480",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
|
||||
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|
||||
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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": [],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
|
||||
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|
||||
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|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_06",
|
||||
"url": "https://picsum.photos/seed/vision-bench-6/640/480",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"ground_truth_ocr": "",
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||||
"expected_structure": {
|
||||
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|
||||
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||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "photo_random_07",
|
||||
"url": "https://picsum.photos/seed/vision-bench-7/640/480",
|
||||
"category": "photo",
|
||||
"expected_keywords": [],
|
||||
"ground_truth_ocr": "",
|
||||
"expected_structure": {
|
||||
"min_length": 30,
|
||||
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|
||||
"has_numbers": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"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,
|
||||
"min_sentences": 1,
|
||||
"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__":
|
||||
|
||||
@@ -1,66 +0,0 @@
|
||||
# Morning Review Packet Status — #949
|
||||
|
||||
Generated: 2026-04-22T14:57:44.332419+00:00
|
||||
Epic: [EPIC: Morning review packet — Hermes harness features landed 2026-04-21](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/949)
|
||||
|
||||
## Summary
|
||||
|
||||
- Child QA issues tracked: 13
|
||||
- Open child issues: 11
|
||||
- Closed child issues: 2
|
||||
- Open child issues already backed by PRs: 7
|
||||
- Open child issues still unowned on forge: 4
|
||||
|
||||
## Child QA Matrix
|
||||
|
||||
| Issue | State | Open PRs | Title |
|
||||
|------:|-------|----------|-------|
|
||||
| #950 | open | — | [QA] Verify AI Gateway provider UX + attribution headers |
|
||||
| #951 | open | — | [QA] Verify transport abstraction + AnthropicTransport wiring |
|
||||
| #952 | open | — | [QA] Verify CLI voice beep toggle |
|
||||
| #953 | open | [#1020](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1020) | [QA] Verify bundled skill scripts run out of the box |
|
||||
| #954 | open | [#1021](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1021) | [QA] Verify maps skill guest_house / camp_site / bakery expansion |
|
||||
| #955 | open | — | [QA] Verify KittenTTS local provider end-to-end |
|
||||
| #956 | open | [#1018](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1018) | [QA] Verify numbered keyboard shortcuts for approval + clarify prompts |
|
||||
| #957 | open | [#1015](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1015) | [QA] Verify optional adversarial-ux-test skill catalog flow |
|
||||
| #958 | open | [#1016](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1016) | [QA] Verify /usage account limits in CLI + gateway |
|
||||
| #959 | open | [#1014](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1014) | [QA] Verify OpenCode-Go curated catalog additions |
|
||||
| #960 | open | [#1017](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1017) | [QA] Verify patch 'did you mean?' suggestions |
|
||||
| #961 | closed | — | [QA] Verify web dashboard update/restart action buttons |
|
||||
| #962 | closed | — | [QA] Verify hardcoded-home path guard on burn/921 branch |
|
||||
|
||||
## Drift Signals
|
||||
|
||||
forge/main is still catching up to the upstream packet.
|
||||
|
||||
Active PR-backed child lanes:
|
||||
- #953 -> #1020 ([QA] Verify bundled skill scripts run out of the box)
|
||||
- #954 -> #1021 ([QA] Verify maps skill guest_house / camp_site / bakery expansion)
|
||||
- #956 -> #1018 ([QA] Verify numbered keyboard shortcuts for approval + clarify prompts)
|
||||
- #957 -> #1015 ([QA] Verify optional adversarial-ux-test skill catalog flow)
|
||||
- #958 -> #1016 ([QA] Verify /usage account limits in CLI + gateway)
|
||||
- #959 -> #1014 ([QA] Verify OpenCode-Go curated catalog additions)
|
||||
- #960 -> #1017 ([QA] Verify patch 'did you mean?' suggestions)
|
||||
|
||||
## Unowned Open QA Issues
|
||||
|
||||
- #950 [QA] Verify AI Gateway provider UX + attribution headers
|
||||
- #951 [QA] Verify transport abstraction + AnthropicTransport wiring
|
||||
- #952 [QA] Verify CLI voice beep toggle
|
||||
- #955 [QA] Verify KittenTTS local provider end-to-end
|
||||
|
||||
## Decomposition Follow-Ups
|
||||
|
||||
- #965 [open] [EPIC: Morning review packet — Hermes harness features landed 2026-04-21] Phase 1: Landscape Analysis & Scaffolding
|
||||
- #966 [open] [EPIC: Morning review packet — Hermes harness features landed 2026-04-21] Phase 2: Core Logic Implementation
|
||||
- #967 [closed] [EPIC: Morning review packet — Hermes harness features landed 2026-04-21] Phase 3: Poka-yoke Integration & Fleet Verification
|
||||
|
||||
## Conclusion
|
||||
|
||||
Refs #949 only. This epic remains open until every child QA issue has a truthful PASS/FAIL outcome, attached evidence, and any upstream/main versus forge/main drift is resolved or explicitly documented.
|
||||
|
||||
## Regeneration
|
||||
|
||||
```bash
|
||||
python3 scripts/morning_review_packet_status.py --fetch-live --json-out docs/morning-review-packet-2026-04-21.snapshot.json --markdown-out docs/morning-review-packet-2026-04-21-status.md
|
||||
```
|
||||
@@ -1,172 +0,0 @@
|
||||
{
|
||||
"generated_at": "2026-04-22T14:57:44.332419+00:00",
|
||||
"repo": "Timmy_Foundation/hermes-agent",
|
||||
"epic": {
|
||||
"number": 949,
|
||||
"title": "EPIC: Morning review packet \u2014 Hermes harness features landed 2026-04-21",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/949"
|
||||
},
|
||||
"children": [
|
||||
{
|
||||
"number": 950,
|
||||
"title": "[QA] Verify AI Gateway provider UX + attribution headers",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/950",
|
||||
"open_prs": []
|
||||
},
|
||||
{
|
||||
"number": 951,
|
||||
"title": "[QA] Verify transport abstraction + AnthropicTransport wiring",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/951",
|
||||
"open_prs": []
|
||||
},
|
||||
{
|
||||
"number": 952,
|
||||
"title": "[QA] Verify CLI voice beep toggle",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/952",
|
||||
"open_prs": []
|
||||
},
|
||||
{
|
||||
"number": 953,
|
||||
"title": "[QA] Verify bundled skill scripts run out of the box",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/953",
|
||||
"open_prs": [
|
||||
{
|
||||
"number": 1020,
|
||||
"title": "fix: ship bundled skill scripts executable",
|
||||
"head": "fix/953",
|
||||
"url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1020"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"number": 954,
|
||||
"title": "[QA] Verify maps skill guest_house / camp_site / bakery expansion",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/954",
|
||||
"open_prs": [
|
||||
{
|
||||
"number": 1021,
|
||||
"title": "feat: sync maps skill and verify guest_house/camp_site/bakery (#954)",
|
||||
"head": "fix/954",
|
||||
"url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1021"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"number": 955,
|
||||
"title": "[QA] Verify KittenTTS local provider end-to-end",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/955",
|
||||
"open_prs": []
|
||||
},
|
||||
{
|
||||
"number": 956,
|
||||
"title": "[QA] Verify numbered keyboard shortcuts for approval + clarify prompts",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/956",
|
||||
"open_prs": [
|
||||
{
|
||||
"number": 1018,
|
||||
"title": "fix: add numbered approval and clarify shortcuts (#956)",
|
||||
"head": "fix/956",
|
||||
"url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1018"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"number": 957,
|
||||
"title": "[QA] Verify optional adversarial-ux-test skill catalog flow",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/957",
|
||||
"open_prs": [
|
||||
{
|
||||
"number": 1015,
|
||||
"title": "feat(skills): backport adversarial-ux-test optional skill",
|
||||
"head": "fix/957",
|
||||
"url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1015"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"number": 958,
|
||||
"title": "[QA] Verify /usage account limits in CLI + gateway",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/958",
|
||||
"open_prs": [
|
||||
{
|
||||
"number": 1016,
|
||||
"title": "fix: restore /usage account limits in CLI + gateway (#958)",
|
||||
"head": "fix/958",
|
||||
"url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1016"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"number": 959,
|
||||
"title": "[QA] Verify OpenCode-Go curated catalog additions",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/959",
|
||||
"open_prs": [
|
||||
{
|
||||
"number": 1014,
|
||||
"title": "fix(opencode-go): restore curated catalog additions",
|
||||
"head": "fix/959",
|
||||
"url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1014"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"number": 960,
|
||||
"title": "[QA] Verify patch 'did you mean?' suggestions",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/960",
|
||||
"open_prs": [
|
||||
{
|
||||
"number": 1017,
|
||||
"title": "fix(patch): port and verify did-you-mean suggestions (#960)",
|
||||
"head": "fix/960",
|
||||
"url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/1017"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"number": 961,
|
||||
"title": "[QA] Verify web dashboard update/restart action buttons",
|
||||
"state": "closed",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/961",
|
||||
"open_prs": []
|
||||
},
|
||||
{
|
||||
"number": 962,
|
||||
"title": "[QA] Verify hardcoded-home path guard on burn/921 branch",
|
||||
"state": "closed",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/962",
|
||||
"open_prs": []
|
||||
}
|
||||
],
|
||||
"decomposition_issues": [
|
||||
{
|
||||
"number": 965,
|
||||
"title": "[EPIC: Morning review packet \u2014 Hermes harness features landed 2026-04-21] Phase 1: Landscape Analysis & Scaffolding",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/965"
|
||||
},
|
||||
{
|
||||
"number": 966,
|
||||
"title": "[EPIC: Morning review packet \u2014 Hermes harness features landed 2026-04-21] Phase 2: Core Logic Implementation",
|
||||
"state": "open",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/966"
|
||||
},
|
||||
{
|
||||
"number": 967,
|
||||
"title": "[EPIC: Morning review packet \u2014 Hermes harness features landed 2026-04-21] Phase 3: Poka-yoke Integration & Fleet Verification",
|
||||
"state": "closed",
|
||||
"html_url": "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/967"
|
||||
}
|
||||
]
|
||||
}
|
||||
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.
|
||||
@@ -1,288 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Generate a grounded status report for hermes-agent morning review packet epic #949."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import base64
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import ssl
|
||||
import urllib.request
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
BASE_API = "https://forge.alexanderwhitestone.com/api/v1"
|
||||
REPO = "Timmy_Foundation/hermes-agent"
|
||||
TOKEN_PATH = Path("~/.config/gitea/token").expanduser()
|
||||
DEFAULT_JSON_OUT = Path("docs/morning-review-packet-2026-04-21.snapshot.json")
|
||||
DEFAULT_MARKDOWN_OUT = Path("docs/morning-review-packet-2026-04-21-status.md")
|
||||
|
||||
|
||||
def extract_issue_numbers(text: str) -> list[int]:
|
||||
seen: set[int] = set()
|
||||
numbers: list[int] = []
|
||||
for match in re.finditer(r"#(\d+)", text or ""):
|
||||
num = int(match.group(1))
|
||||
if num not in seen:
|
||||
seen.add(num)
|
||||
numbers.append(num)
|
||||
return numbers
|
||||
|
||||
|
||||
def _auth_headers(token: str) -> list[dict[str, str]]:
|
||||
basic = base64.b64encode(f"{token}:".encode()).decode()
|
||||
return [
|
||||
{"Authorization": f"token {token}", "Accept": "application/json"},
|
||||
{"Authorization": f"Basic {basic}", "Accept": "application/json"},
|
||||
]
|
||||
|
||||
|
||||
def api_get(path: str, *, headers_options: list[dict[str, str]] | None = None) -> Any:
|
||||
token = TOKEN_PATH.read_text(encoding="utf-8").strip()
|
||||
headers_options = headers_options or _auth_headers(token)
|
||||
ctx = ssl.create_default_context()
|
||||
url = f"{BASE_API}{path}"
|
||||
last_error: Exception | None = None
|
||||
for headers in headers_options:
|
||||
try:
|
||||
req = urllib.request.Request(url, headers=headers)
|
||||
with urllib.request.urlopen(req, context=ctx, timeout=30) as resp:
|
||||
return json.loads(resp.read().decode())
|
||||
except Exception as exc: # pragma: no cover - exercised via live CLI use
|
||||
last_error = exc
|
||||
raise RuntimeError(f"GET {url} failed: {last_error}")
|
||||
|
||||
|
||||
def issue_pr_matches(pr: dict[str, Any], issue_num: int) -> bool:
|
||||
title = pr.get("title") or ""
|
||||
body = pr.get("body") or ""
|
||||
head = (pr.get("head") or {}).get("ref") or ""
|
||||
exact_ref = re.compile(rf"(?<!\d)#{issue_num}(?!\d)")
|
||||
body_ref = re.compile(rf"(?i)(closes|close|fixes|fix|resolves|resolve|refs|ref)\s+#?{issue_num}(?!\d)")
|
||||
branch_variants = {
|
||||
f"fix/{issue_num}",
|
||||
f"issue-{issue_num}",
|
||||
f"burn/{issue_num}",
|
||||
f"fix/issue-{issue_num}",
|
||||
}
|
||||
return bool(
|
||||
exact_ref.search(title)
|
||||
or exact_ref.search(body)
|
||||
or body_ref.search(body)
|
||||
or head in branch_variants
|
||||
)
|
||||
|
||||
|
||||
def fetch_open_prs(*, headers_options: list[dict[str, str]]) -> list[dict[str, Any]]:
|
||||
prs: list[dict[str, Any]] = []
|
||||
page = 1
|
||||
while True:
|
||||
batch = api_get(
|
||||
f"/repos/{REPO}/pulls?state=open&limit=100&page={page}",
|
||||
headers_options=headers_options,
|
||||
)
|
||||
if not batch:
|
||||
break
|
||||
prs.extend(batch)
|
||||
if len(batch) < 100:
|
||||
break
|
||||
page += 1
|
||||
return prs
|
||||
|
||||
|
||||
def fetch_live_snapshot(epic_issue_num: int = 949) -> dict[str, Any]:
|
||||
token = TOKEN_PATH.read_text(encoding="utf-8").strip()
|
||||
headers_options = _auth_headers(token)
|
||||
|
||||
epic = api_get(f"/repos/{REPO}/issues/{epic_issue_num}", headers_options=headers_options)
|
||||
comments = api_get(f"/repos/{REPO}/issues/{epic_issue_num}/comments", headers_options=headers_options)
|
||||
child_numbers = [n for n in extract_issue_numbers(epic.get("body") or "") if n != epic_issue_num]
|
||||
decomposition_numbers = [
|
||||
n
|
||||
for comment in comments
|
||||
for n in extract_issue_numbers(comment.get("body") or "")
|
||||
if n not in child_numbers and n != epic_issue_num
|
||||
]
|
||||
|
||||
open_prs = fetch_open_prs(headers_options=headers_options)
|
||||
|
||||
children = []
|
||||
for number in child_numbers:
|
||||
issue = api_get(f"/repos/{REPO}/issues/{number}", headers_options=headers_options)
|
||||
matching_prs = [
|
||||
{
|
||||
"number": pr["number"],
|
||||
"title": pr["title"],
|
||||
"head": pr.get("head", {}).get("ref", ""),
|
||||
"url": pr["html_url"],
|
||||
}
|
||||
for pr in open_prs
|
||||
if issue_pr_matches(pr, number)
|
||||
]
|
||||
children.append(
|
||||
{
|
||||
"number": issue["number"],
|
||||
"title": issue["title"],
|
||||
"state": issue["state"],
|
||||
"html_url": issue["html_url"],
|
||||
"open_prs": matching_prs,
|
||||
}
|
||||
)
|
||||
|
||||
decomposition_issues = []
|
||||
for number in decomposition_numbers:
|
||||
issue = api_get(f"/repos/{REPO}/issues/{number}", headers_options=headers_options)
|
||||
decomposition_issues.append(
|
||||
{
|
||||
"number": issue["number"],
|
||||
"title": issue["title"],
|
||||
"state": issue["state"],
|
||||
"html_url": issue["html_url"],
|
||||
}
|
||||
)
|
||||
|
||||
return {
|
||||
"generated_at": datetime.now(timezone.utc).isoformat(),
|
||||
"repo": REPO,
|
||||
"epic": {
|
||||
"number": epic["number"],
|
||||
"title": epic["title"],
|
||||
"state": epic["state"],
|
||||
"html_url": epic["html_url"],
|
||||
},
|
||||
"children": children,
|
||||
"decomposition_issues": decomposition_issues,
|
||||
}
|
||||
|
||||
|
||||
def summarize_snapshot(snapshot: dict[str, Any]) -> dict[str, int]:
|
||||
children = snapshot.get("children", [])
|
||||
open_children = [issue for issue in children if issue.get("state") == "open"]
|
||||
closed_children = [issue for issue in children if issue.get("state") == "closed"]
|
||||
open_with_pr = [issue for issue in open_children if issue.get("open_prs")]
|
||||
open_without_pr = [issue for issue in open_children if not issue.get("open_prs")]
|
||||
return {
|
||||
"total_children": len(children),
|
||||
"open_children": len(open_children),
|
||||
"closed_children": len(closed_children),
|
||||
"open_with_pr": len(open_with_pr),
|
||||
"open_without_pr": len(open_without_pr),
|
||||
}
|
||||
|
||||
|
||||
def render_markdown(snapshot: dict[str, Any]) -> str:
|
||||
epic = snapshot["epic"]
|
||||
children = snapshot.get("children", [])
|
||||
summary = summarize_snapshot(snapshot)
|
||||
open_with_pr = [issue for issue in children if issue.get("state") == "open" and issue.get("open_prs")]
|
||||
open_without_pr = [issue for issue in children if issue.get("state") == "open" and not issue.get("open_prs")]
|
||||
decomposition = snapshot.get("decomposition_issues", [])
|
||||
|
||||
lines = [
|
||||
f"# Morning Review Packet Status — #{epic['number']}",
|
||||
"",
|
||||
f"Generated: {snapshot.get('generated_at', '')}",
|
||||
f"Epic: [{epic['title']}]({epic.get('html_url', '')})",
|
||||
"",
|
||||
"## Summary",
|
||||
"",
|
||||
f"- Child QA issues tracked: {summary['total_children']}",
|
||||
f"- Open child issues: {summary['open_children']}",
|
||||
f"- Closed child issues: {summary['closed_children']}",
|
||||
f"- Open child issues already backed by PRs: {summary['open_with_pr']}",
|
||||
f"- Open child issues still unowned on forge: {summary['open_without_pr']}",
|
||||
"",
|
||||
"## Child QA Matrix",
|
||||
"",
|
||||
"| Issue | State | Open PRs | Title |",
|
||||
"|------:|-------|----------|-------|",
|
||||
]
|
||||
|
||||
for issue in children:
|
||||
rendered_prs = []
|
||||
for pr in issue.get("open_prs", []):
|
||||
pr_num = pr.get("number", "?")
|
||||
pr_url = pr.get("url") or pr.get("html_url") or ""
|
||||
rendered_prs.append(f"[#{pr_num}]({pr_url})" if pr_url else f"#{pr_num}")
|
||||
pr_text = ", ".join(rendered_prs) or "—"
|
||||
lines.append(
|
||||
f"| #{issue['number']} | {issue['state']} | {pr_text} | {issue['title']} |"
|
||||
)
|
||||
|
||||
lines.extend([
|
||||
"",
|
||||
"## Drift Signals",
|
||||
"",
|
||||
"forge/main is still catching up to the upstream packet.",
|
||||
])
|
||||
|
||||
if open_with_pr:
|
||||
lines.append("")
|
||||
lines.append("Active PR-backed child lanes:")
|
||||
for issue in open_with_pr:
|
||||
pr_numbers = ", ".join(f"#{pr['number']}" for pr in issue.get("open_prs", []))
|
||||
lines.append(f"- #{issue['number']} -> {pr_numbers} ({issue['title']})")
|
||||
|
||||
if open_without_pr:
|
||||
lines.extend([
|
||||
"",
|
||||
"## Unowned Open QA Issues",
|
||||
"",
|
||||
])
|
||||
for issue in open_without_pr:
|
||||
lines.append(f"- #{issue['number']} {issue['title']}")
|
||||
|
||||
if decomposition:
|
||||
lines.extend([
|
||||
"",
|
||||
"## Decomposition Follow-Ups",
|
||||
"",
|
||||
])
|
||||
for issue in decomposition:
|
||||
lines.append(f"- #{issue['number']} [{issue['state']}] {issue['title']}")
|
||||
|
||||
lines.extend([
|
||||
"",
|
||||
"## Conclusion",
|
||||
"",
|
||||
"Refs #949 only. This epic remains open until every child QA issue has a truthful PASS/FAIL outcome, attached evidence, and any upstream/main versus forge/main drift is resolved or explicitly documented.",
|
||||
"",
|
||||
"## Regeneration",
|
||||
"",
|
||||
"```bash",
|
||||
"python3 scripts/morning_review_packet_status.py --fetch-live --json-out docs/morning-review-packet-2026-04-21.snapshot.json --markdown-out docs/morning-review-packet-2026-04-21-status.md",
|
||||
"```",
|
||||
])
|
||||
|
||||
return "\n".join(lines) + "\n"
|
||||
|
||||
|
||||
def write_json(path: Path, data: dict[str, Any]) -> None:
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
path.write_text(json.dumps(data, indent=2) + "\n", encoding="utf-8")
|
||||
|
||||
|
||||
def main() -> None:
|
||||
parser = argparse.ArgumentParser(description="Generate grounded status docs for epic #949")
|
||||
parser.add_argument("--fetch-live", action="store_true", help="Fetch the current packet state from Forge")
|
||||
parser.add_argument("--snapshot", type=Path, help="Read a local JSON snapshot instead of hitting the API")
|
||||
parser.add_argument("--json-out", type=Path, default=DEFAULT_JSON_OUT, help="Path to write JSON snapshot")
|
||||
parser.add_argument("--markdown-out", type=Path, default=DEFAULT_MARKDOWN_OUT, help="Path to write markdown report")
|
||||
args = parser.parse_args()
|
||||
|
||||
if args.fetch_live or not args.snapshot:
|
||||
snapshot = fetch_live_snapshot()
|
||||
else:
|
||||
snapshot = json.loads(args.snapshot.read_text(encoding="utf-8"))
|
||||
|
||||
write_json(args.json_out, snapshot)
|
||||
args.markdown_out.parent.mkdir(parents=True, exist_ok=True)
|
||||
args.markdown_out.write_text(render_markdown(snapshot), encoding="utf-8")
|
||||
print(args.markdown_out)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,94 +0,0 @@
|
||||
"""Tests for the morning review packet status report generator."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import importlib.util
|
||||
from pathlib import Path
|
||||
|
||||
SCRIPT_PATH = Path(__file__).resolve().parents[1] / "scripts" / "morning_review_packet_status.py"
|
||||
DOC_PATH = Path(__file__).resolve().parents[1] / "docs" / "morning-review-packet-2026-04-21-status.md"
|
||||
|
||||
|
||||
def load_module():
|
||||
assert SCRIPT_PATH.exists(), f"missing status script: {SCRIPT_PATH}"
|
||||
spec = importlib.util.spec_from_file_location("morning_review_packet_status_test", SCRIPT_PATH)
|
||||
module = importlib.util.module_from_spec(spec)
|
||||
assert spec.loader is not None
|
||||
spec.loader.exec_module(module)
|
||||
return module
|
||||
|
||||
|
||||
def sample_snapshot():
|
||||
return {
|
||||
"epic": {"number": 949, "title": "Morning review packet", "state": "open"},
|
||||
"children": [
|
||||
{
|
||||
"number": 950,
|
||||
"title": "Verify AI Gateway provider UX + attribution headers",
|
||||
"state": "open",
|
||||
"open_prs": [],
|
||||
},
|
||||
{
|
||||
"number": 954,
|
||||
"title": "Verify maps skill guest_house / camp_site / bakery expansion",
|
||||
"state": "open",
|
||||
"open_prs": [
|
||||
{"number": 1021, "head": "fix/954", "title": "feat: sync maps skill and verify guest_house/camp_site/bakery (#954)"}
|
||||
],
|
||||
},
|
||||
{
|
||||
"number": 961,
|
||||
"title": "Verify web dashboard update/restart action buttons",
|
||||
"state": "closed",
|
||||
"open_prs": [],
|
||||
},
|
||||
],
|
||||
"decomposition_issues": [
|
||||
{"number": 965, "title": "Phase 1: Landscape Analysis & Scaffolding", "state": "open"},
|
||||
{"number": 967, "title": "Phase 3: Poka-yoke Integration & Fleet Verification", "state": "closed"},
|
||||
],
|
||||
}
|
||||
|
||||
|
||||
def test_extract_child_issue_numbers_from_epic_body():
|
||||
module = load_module()
|
||||
body = """
|
||||
- [ ] #950 one
|
||||
- [ ] #951 two
|
||||
- [ ] #962 three
|
||||
"""
|
||||
assert module.extract_issue_numbers(body) == [950, 951, 962]
|
||||
|
||||
|
||||
def test_summarize_snapshot_counts_open_closed_and_pr_backing():
|
||||
module = load_module()
|
||||
summary = module.summarize_snapshot(sample_snapshot())
|
||||
|
||||
assert summary["total_children"] == 3
|
||||
assert summary["open_children"] == 2
|
||||
assert summary["closed_children"] == 1
|
||||
assert summary["open_with_pr"] == 1
|
||||
assert summary["open_without_pr"] == 1
|
||||
|
||||
|
||||
def test_render_markdown_includes_issue_matrix_and_drift_sections():
|
||||
module = load_module()
|
||||
md = module.render_markdown(sample_snapshot())
|
||||
|
||||
assert "# Morning Review Packet Status — #949" in md
|
||||
assert "## Child QA Matrix" in md
|
||||
assert "#950" in md
|
||||
assert "#954" in md
|
||||
assert "#1021" in md
|
||||
assert "## Unowned Open QA Issues" in md
|
||||
assert "## Drift Signals" in md
|
||||
assert "forge/main is still catching up to the upstream packet" in md
|
||||
|
||||
|
||||
def test_committed_status_doc_exists_and_mentions_live_examples():
|
||||
assert DOC_PATH.exists(), f"missing generated status doc: {DOC_PATH}"
|
||||
text = DOC_PATH.read_text(encoding="utf-8")
|
||||
assert "# Morning Review Packet Status — #949" in text
|
||||
assert "#954" in text
|
||||
assert "#1021" in text
|
||||
assert "#950" in text
|
||||
@@ -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