add histrory ui

Signed-off-by: Vladimir Mandic <mandic00@live.com>

CHANGELOG.md

@@ -42,12 +42,18 @@
     pre-load quantization support  
     LoRA support  
     *if you're low on VRAM, NNCF is as close as a catch-all solution*  
+  - **OpenVINO** update to 2025.1.0 and Torch to 2.7  
+  - **ROCm** update to Torch 2.7  
   - **HiDream-I1** optimized offloading and prompt-encode caching  
     it now works in 12GB VRAM / 26GB RAM!  
   - **CogView3** and **CogView4** model loader optimizations  
   - **Sana** model loader optimizations
   - add explicit offload after encode prompt  
     configure in *settings -> text encoder -> offload*  
+- **UI**  
+  - new History tab where you can see all jobs since the server startup  
+    and optionally download any of the previously generated images/videos  
+    access via *system -> history*  
 - **API**  
   - new [API Wiki](https://github.com/vladmandic/sdnext/wiki/API)  
   - server will now maintain job history which can be queried via API  

modules/shared_state.py

@@ -192,6 +192,7 @@ class State:
         self.prediction_type = "epsilon"
         self.api = api or self.api
         self.time_start = time.time()
+        self.time_end = None
         self.history('begin')
         if debug_output:
             log.trace(f'State begin: {self}')

modules/ui_history.py

@@ -0,0 +1,56 @@
+import time
+import gradio as gr
+from modules import shared
+
+
+def refresh():
+    def ts(t):
+        try:
+            return time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(t))
+        except Exception:
+            return ''
+
+    items = []
+    for item in shared.state.state_history:
+        items.append([
+            item['id'],
+            item['job'],
+            item['op'],
+            ts(item['start']),
+            ts(item['end']),
+            len(item['outputs']),
+        ])
+    shared.log.info(f"History: records={len(items)}")
+    if len(items) == 0:
+        items = None
+    return gr.Dataframe.update(value=items)
+
+
+def select(evt: gr.SelectData, _data):
+    if evt.index is None or len(evt.index) == 0:
+        return []
+    row = evt.index[0]
+    item = shared.state.state_history[row] if row < len(shared.state.state_history) else {}
+    shared.log.debug(f"History: select={row}:{len(shared.state.state_history)} {item}")
+    files = item.get('outputs', [])
+    return gr.Files.update(value=files)
+
+
+def create_ui():
+    with gr.Row():
+        btn_refresh = gr.Button("Refresh")
+    with gr.Row():
+        history_table = gr.DataFrame(
+            value=None,
+            headers=['ID', 'Job', 'Op', 'Start', 'End', 'Outputs'],
+            label='History data',
+            show_label=True,
+            interactive=False,
+            wrap=True,
+            overflow_row_behaviour='paginate',
+            max_rows=50,
+        )
+    with gr.Row():
+        history_files = gr.Files(label="Task files", interactive=False)
+    btn_refresh.click(fn=refresh, inputs=[], outputs=[history_table])
+    history_table.select(fn=select, inputs=[history_table], outputs=[history_files])

modules/ui_settings.py

@@ -1,6 +1,6 @@
 import os
 import gradio as gr
-from modules import timer, shared, paths, theme, sd_models, modelloader, ui_common, ui_loadsave, generation_parameters_copypaste, call_queue, script_callbacks
+from modules import timer, shared, paths, theme, sd_models, modelloader, ui_common, ui_loadsave, ui_history, generation_parameters_copypaste, call_queue, script_callbacks
 
 
 text_settings = None # holds json of entire shared.opts
@@ -242,6 +242,9 @@ def create_ui():
             loadsave.create_ui()
             create_dirty_indicator("tab_defaults", [], interactive=False)
 
+        with gr.TabItem("History", id="system_history", elem_id="tab_history"):
+            ui_history.create_ui()
+
         with gr.TabItem("ONNX", id="onnx_config", elem_id="tab_onnx"):
             from modules.onnx_impl import ui as ui_onnx
             ui_onnx.create_ui()