feat(projekt-matching): seven Langflow wrapper components

projekt-matching/components/pm_extract.py

@@ -0,0 +1,33 @@
+import sys
+
+if "/app/langflow" not in sys.path:
+    sys.path.insert(0, "/app/langflow")
+
+from langflow.custom import Component
+from langflow.io import DataInput, MessageTextInput, Output
+from langflow.schema import Data
+
+from projektmatch import stages
+from projektmatch.config import Cfg
+
+
+class PMExtract(Component):
+    display_name = "PM 2 Extract"
+    description = "LLM 1: Anforderungen strukturiert extrahieren"
+    inputs = [
+        DataInput(name="ctx", display_name="Context"),
+        MessageTextInput(name="vllm_base", display_name="vLLM Base",
+                         value="PM_VLLM_BASE", load_from_db=True,
+                         advanced=True),
+        MessageTextInput(name="vllm_model", display_name="vLLM Model",
+                         value="PM_VLLM_MODEL", load_from_db=True,
+                         advanced=True),
+    ]
+    outputs = [Output(name="out", display_name="Context", method="build_out")]
+
+    def build_out(self) -> Data:
+        cfg = Cfg(vllm_base=self.vllm_base, vllm_model=self.vllm_model)
+        ctx = stages.run_stage("extract", stages.stage_extract,
+                               dict(self.ctx.data), cfg)
+        self.status = ctx.get("status", "")
+        return Data(data=ctx)