Add parser builder: one-shot DeepSeek profile for Telegram extract_mode=profile.

Generate static HeuristicProfile in CA admin, preview and run without LLM on each post via shared interpreter in CP batch and listener.

Co-authored-by: Cursor <cursoragent@cursor.com>

contracts/sources.py

@@ -10,16 +10,29 @@ from pydantic import BaseModel, Field, field_validator, model_validator
 class TelegramSourceConfig(BaseModel):
     channel: str = Field(min_length=1)
     limit: int = Field(default=100, ge=1, le=1000)
-    # heuristic = legacy telegram_events parser; llm = DeepSeek structured extract
-    extract_mode: Literal["heuristic", "llm"] = "heuristic"
+    # heuristic = legacy telegram_events; llm = DeepSeek per post; profile = static rules
+    extract_mode: Literal["heuristic", "llm", "profile"] = "heuristic"
     extract_schema: dict[str, str] | None = None
     instruction: str | None = None
+    heuristic_profile: dict | None = None
+    sample_post: str | None = None  # audit / re-generate; not required at runtime
 
     @field_validator("channel")
     @classmethod
     def strip_channel(cls, value: str) -> str:
         return value.strip()
 
+    @model_validator(mode="after")
+    def profile_requires_rules(self) -> "TelegramSourceConfig":
+        if self.extract_mode != "profile":
+            return self
+        if not self.heuristic_profile:
+            raise ValueError("heuristic_profile required when extract_mode=profile")
+        from contracts.heuristic_profile import HeuristicProfile
+
+        HeuristicProfile.model_validate(self.heuristic_profile)
+        return self
+
 
 class Crawl4AISourceConfig(BaseModel):
     urls: list[str] = Field(min_length=1)