feat: form-input library with schema parsing and endpoint

backend/app/flows/api.py

@@ -18,6 +18,7 @@ from app.settings import settings
 from app.auth.deps import get_optional_user, resolve_tenant
 
 from . import runner, store
+from . import input_schema as form_schema
 from .deploy import import_from_langflow
 from .sync import lfx_id_for, sync_from_directory
 from .langflow_client import (
@@ -46,6 +47,7 @@ from .schemas import (
     FlowImportRequest,
     FlowVersionCreate,
     FlowVersionRead,
+    InputSchemaRead,
     RunRead,
     RunRequest,
     SyncReport,
@@ -91,6 +93,7 @@ def _read_version(v) -> FlowVersionRead:
         deployed_at=v.deployed_at,
         author=v.author,
         created_at=v.created_at,
+        input_schema=v.input_schema,
     )
 
 
@@ -386,6 +389,28 @@ async def import_flow(
     )
 
 
+@flows_router.get("/{flow_id}/input-schema", response_model=InputSchemaRead)
+def get_input_schema(
+    flow_id: UUID,
+    session: Session = Depends(get_db),
+):
+    """Form schema of the latest deployed version (404 when none)."""
+    try:
+        version = store.get_latest_deployed_version(session, flow_id)
+    except (store.NotFoundError, store.InvalidError) as exc:
+        raise HTTPException(status_code=404, detail=str(exc)) from exc
+    cached = version.input_schema or form_schema.extract_form_schema(
+        version.langflow_json
+    )
+    return InputSchemaRead(
+        flow_id=flow_id,
+        version_no=version.version_no,
+        json_schema=cached.get("json_schema", {}),
+        ui_schema=cached.get("ui_schema", {}),
+        fallback=cached.get("fallback"),
+    )
+
+
 @flows_router.get("/runs/{run_id}", response_model=RunRead)
 def get_run(
     run_id: UUID,

backend/app/flows/input_schema.py

@@ -0,0 +1,147 @@
+"""Derive a web-form schema from a Langflow export.
+
+Looks for ``CustomInput*`` nodes (``data.type`` or the inner
+``display_name`` starting with ``CustomInput`` — see
+``backend/components/kirche/form_inputs.py``) and maps their ``template``
+(minus ``code``) to ``{json_schema, ui_schema}`` for RJSF:
+
+* ``name`` → property key, ``display_name`` → ``title``,
+  ``info`` → ``description``, ``value`` → ``default``,
+  ``options`` → ``enum``, ``required`` → required array
+* ``show: false`` fields are plumbing (e.g. the run envelope input), not
+  form fields, and are skipped
+* ``advanced`` fields render last via ``ui:order``
+* ``_input_type`` → JSON type + widget (unknown types fall back to string
+  so the parser never crashes on new fields)
+
+A flow without such a node gets ``{fallback: "textarea"}``: the frontend
+renders one free-text box instead of a generated form.
+"""
+
+from __future__ import annotations
+
+
+def _form_templates(langflow_json: dict) -> list[dict]:
+    """Inner node dicts (``data.node``) of all CustomInput* nodes."""
+    if not isinstance(langflow_json, dict):
+        return []
+    data = langflow_json.get("data") or {}
+    nodes = data.get("nodes") or []
+    found = []
+    for node in nodes:
+        if not isinstance(node, dict):
+            continue
+        node_data = node.get("data") or {}
+        node_type = str(node_data.get("type") or "")
+        inner = node_data.get("node") or {}
+        display = str(inner.get("display_name") or "")
+        if node_type.startswith("CustomInput") or display.startswith("CustomInput"):
+            found.append(inner)
+    return found
+
+
+def _field_schema(name: str, field: dict) -> tuple[dict, dict]:
+    """(JSON-Schema property, uiSchema entry) for one template field."""
+    input_type = str(field.get("_input_type") or "")
+    prop: dict = {}
+    ui: dict = {}
+    title = field.get("display_name") or name
+    info = field.get("info") or ""
+    if title:
+        prop["title"] = title
+    if info:
+        prop["description"] = info
+
+    options = field.get("options") or []
+    if input_type in ("StrInput", "MessageTextInput"):
+        prop["type"] = "string"
+    elif input_type == "MultilineInput":
+        prop["type"] = "string"
+        ui["ui:widget"] = "textarea"
+    elif input_type == "SecretStrInput":
+        prop["type"] = "string"
+        ui["ui:widget"] = "password"
+    elif input_type == "IntInput":
+        prop["type"] = "integer"
+    elif input_type == "FloatInput":
+        prop["type"] = "number"
+    elif input_type == "BoolInput":
+        prop["type"] = "boolean"
+    elif input_type == "DropdownInput":
+        prop["type"] = "string"
+        if options:
+            prop["enum"] = list(options)
+    elif input_type == "MultiselectInput":
+        prop["type"] = "array"
+        items: dict = {"type": "string"}
+        if options:
+            items["enum"] = list(options)
+        prop["items"] = items
+        prop["uniqueItems"] = True
+    elif input_type == "SliderInput":
+        prop["type"] = "number"
+        spec = field.get("range_spec") or {}
+        if spec.get("min") is not None:
+            prop["minimum"] = spec["min"]
+        if spec.get("max") is not None:
+            prop["maximum"] = spec["max"]
+        if spec.get("step"):
+            prop["multipleOf"] = spec["step"]
+        ui["ui:widget"] = "range"
+    elif input_type == "FileInput":
+        # Stub for now: string reference only, real upload comes later.
+        prop["type"] = "string"
+    else:
+        prop["type"] = "string"
+
+    value = field.get("value")
+    if value is not None:
+        # A default outside its enum would fail validation on touch.
+        enum = prop.get("enum")
+        if not (enum is not None and value not in enum):
+            # bool is an int subclass; keep integer defaults clean.
+            if prop.get("type") == "integer" and isinstance(value, bool):
+                pass
+            else:
+                prop["default"] = value
+    return prop, ui
+
+
+def extract_form_schema(langflow_json: dict) -> dict:
+    """``{json_schema, ui_schema}``, or with ``fallback: "textarea"``."""
+    templates = _form_templates(langflow_json)
+    if not templates:
+        return {
+            "json_schema": {"type": "object", "properties": {}},
+            "ui_schema": {},
+            "fallback": "textarea",
+        }
+    template = templates[0].get("template") or {}
+    properties: dict = {}
+    required: list[str] = []
+    ui_schema: dict = {}
+    normal: list[str] = []
+    advanced: list[str] = []
+    for key, field in template.items():
+        if key == "code" or not isinstance(field, dict):
+            continue
+        if field.get("show") is False:
+            continue
+        name = field.get("name") or key
+        prop, ui = _field_schema(name, field)
+        properties[name] = prop
+        if field.get("required"):
+            required.append(name)
+        if ui:
+            ui_schema[name] = ui
+        (advanced if field.get("advanced") else normal).append(name)
+    if advanced:
+        ui_schema["ui:order"] = normal + advanced + ["*"]
+    return {
+        "json_schema": {
+            "type": "object",
+            "properties": properties,
+            "required": required,
+        },
+        "ui_schema": ui_schema,
+    }

backend/app/flows/schemas.py

@@ -37,6 +37,18 @@ class FlowVersionRead(BaseModel):
     deployed_at: datetime | None
     author: str
     created_at: datetime
+    input_schema: dict | None = None
+
+
+class InputSchemaRead(BaseModel):
+    """Form schema of the latest deployed version (RJSF renders it)."""
+
+    flow_id: UUID
+    version_no: int
+    json_schema: dict
+    ui_schema: dict = Field(default_factory=dict)
+    # Set when the flow has no CustomInput node: render a free-text box.
+    fallback: str | None = None
 
 
 class RunRequest(BaseModel):

backend/app/flows/store.py

@@ -10,6 +10,7 @@ from sqlmodel import Session, func, select
 
 from app.models import ApprovalTask, FlowDefinition, FlowRun, FlowVersion
 
+from . import input_schema as form_schema
 from .schemas import ApprovalCreate, FlowDefinitionCreate, FlowVersionCreate
 
 
@@ -154,6 +155,9 @@ def create_version(
         version_no=(max_no or 0) + 1,
         langflow_json=data.langflow_json,
         author=data.author,
+        # Single choke point: sync, import, and API creation all cache the
+        # form schema here, so reads never re-parse.
+        input_schema=form_schema.extract_form_schema(data.langflow_json),
     )
     session.add(version)
     session.commit()