feat(datatype): 数据类型感知绘图 + prompt 领域知识注入

skills-bundled/nature-figure/manifest.yaml

@@ -25,8 +25,29 @@ axes:
       Once selected, the backend is exclusive for all drawing, previewing,
       exporting, and visual QA.
     values:
-      python:  static/fragments/backend/python.md
-      r:       static/fragments/backend/r.md
+     python:  static/fragments/backend/python.md
+     r:       static/fragments/backend/r.md
+   multi: false
+
+  data_type:
+    detect: |
+      Optional. The user may specify the type of scientific data they are
+      plotting (e.g. FTIR, XRD, TGA, CV). If provided, use the domain-specific
+      guidance injected in the instruction to set correct axis directions,
+      units, annotations, and conventions for that data type. If not provided,
+      proceed with general plotting best practices.
+    values:
+      general:               通用数据
+      spectroscopy.ftir:     FTIR 红外光谱
+      spectroscopy.raman:    Raman 拉曼光谱
+      spectroscopy.uvvis:    UV-Vis 紫外可见光谱
+      spectroscopy.xrd:      XRD X射线衍射
+      spectroscopy.xps:      XPS 光电子能谱
+      spectroscopy.pl:       PL 光致发光光谱
+      thermal.tga:           TGA 热重分析
+      thermal.dsc:           DSC 差示扫描量热
+      electrochem.cv:        CV 循环伏安
+      electrochem.eis:       EIS 电化学阻抗
     multi: false
 
 references:

skills-bundled/nature-figure/static/fragments/backend/python.md

@@ -28,6 +28,58 @@ def save_pub_py(fig, filename, dpi=600):
 
 Use `text.usetex = True` only when LaTeX is installed and math-rich labels are required.
 
+## Export plot parameters (mandatory)
+
+Every figure script must also emit `plot_spec.json` and `plot_data.json` alongside the rendered image. These two files let the Nature App chart editor adjust visual details (colors, fonts, line widths, axis ranges, legend, spines) in real time via local matplotlib re-rendering — no LLM round-trip needed.
+
+```python
+import json
+
+def export_plot_params(spec: dict, data: dict, prefix: str = ""):
+    """Export structured parameters for the Nature App chart editor."""
+    with open(f"{prefix}plot_spec.json", "w", encoding="utf-8") as f:
+        json.dump(spec, f, ensure_ascii=False, indent=2)
+    with open(f"{prefix}plot_data.json", "w", encoding="utf-8") as f:
+        json.dump(data, f, ensure_ascii=False, indent=2)
+```
+
+Call `export_plot_params(spec, data)` at the end of the script, right before or after `save_pub_py`. The `spec` and `data` dicts must follow this schema (camelCase keys are optional in the Python dict; the editor reads snake_case as shown):
+
+**`plot_spec` — all visual parameters that can be fine-tuned:**
+
+```json
+{
+  "schema_version": 1,
+  "chart_type": "line",
+  "title": "Figure title",
+  "x_label": "Time", "y_label": "Absorbance",
+  "x_unit": "s", "y_unit": "a.u.",
+  "style": {
+    "figure_size": [8, 5], "dpi": 150,
+    "font_family": "serif", "font_size": 12,
+    "grid": true, "grid_alpha": 0.3,
+    "legend": {"enabled": true, "location": "best"},
+    "spines": {"enabled": true, "width": 1.2, "color": "#333333"}
+  }
+}
+```
+
+**`plot_data` — the actual plotted series:**
+
+```json
+{
+  "schema_version": 1,
+  "series": [
+    {"name": "Sample A", "x": [0, 1, 2, 3], "y": [0.1, 0.5, 0.8, 0.3],
+     "color": "#1a1a1a", "line_width": 2.0, "visible": true},
+    {"name": "Sample B", "x": [0, 1, 2, 3], "y": [0.2, 0.6, 0.9, 0.4],
+     "color": "#c73e3a", "line_width": 1.5, "visible": true}
+  ]
+}
+```
+
+Set `chart_type` to `"line"`, `"bar"`, `"heatmap"`, or `"line_dual_y"` so the editor loads the correct render template. Extract `x` and `y` arrays from the same data you plotted. If a panel has many series, include only the major ones (the editor is for style fine-tuning, not data exploration). For multi-panel figures, export the parameters of the primary panel.
+
 ## Going deeper
 
 - `references/api.md` — Python PALETTE, helper function signatures, validation rules.

src-tauri/Cargo.toml

@@ -27,4 +27,6 @@ serde_json = "1"
 serde_yaml = "0.9"
 uuid = { version = "1", features = ["v4"] }
 dashmap = "6"
-
+base64 = "0.22"
+tempfile = "3"
+csv = "1.3"