added prompt ingestion

src/personal_mcp/registry/ingest/document.py

@@ -1,7 +1,7 @@
 from collections.abc import Generator
 from dataclasses import dataclass
 from dataclasses import field
-from importlib.abc import Traversable
+from importlib.resources.abc import Traversable
 from itertools import starmap
 from pathlib import PurePosixPath
 from typing import Self
@@ -37,6 +37,12 @@ class MarkdownDocument:
         if parts[0] == "skills" and len(parts) >= 3:
             return parts[1]
 
+    @property
+    def prompt_slug(self) -> str | None:
+        parts = self.relpath.parts
+        if parts[0] == "prompts" and len(parts) >= 3:
+            return parts[1]
+
 
 def walk_resources(
     node: Traversable,

src/personal_mcp/registry/ingest/prompt.py

@@ -0,0 +1,48 @@
+from collections.abc import Iterable
+from dataclasses import dataclass
+from importlib.resources.abc import Traversable
+from itertools import starmap
+from typing import Self
+
+from .document import MarkdownDocument
+
+
+@dataclass(frozen=True, slots=True)
+class PromptFilesBundle:
+    """Represents a prompt and all of its associated markdown files."""
+
+    slug: str
+    prompt: MarkdownDocument
+    other: tuple[MarkdownDocument, ...]
+
+    @classmethod
+    def from_root(cls, root: Traversable) -> list[Self]:
+        # Should only be used for testing
+        return list(cls.from_docs(MarkdownDocument.from_root(root).values()))
+
+    @classmethod
+    def from_docs(cls, docs: Iterable[MarkdownDocument]) -> tuple[Self, ...]:
+        return tuple(starmap(cls.from_paths, group_prompt_paths(docs).items()))
+
+    @classmethod
+    def from_paths(cls, slug: str, paths: set[MarkdownDocument]) -> Self:
+        prompt = next(iter(p for p in paths if p.relpath.name == "PROMPT.md"))
+        sorted_paths = tuple(sorted(paths, key=lambda p: p.relpath.as_posix()))
+        other = tuple(p for p in sorted_paths if p != prompt)
+        return cls(
+            slug=slug,
+            prompt=prompt,
+            other=other,
+        )
+
+
+def group_prompt_paths(docs: Iterable[MarkdownDocument]) -> dict[str, set[MarkdownDocument]]:
+    """Group prompts from a list of markdown documents by their prompt slug."""
+    grouped: dict[str, set[MarkdownDocument]] = {}
+    for doc in sorted(
+        filter(lambda d: d.prompt_slug is not None, docs),
+        key=lambda d: d.relpath.as_posix(),
+    ):
+        if doc.prompt_slug:
+            grouped.setdefault(doc.prompt_slug, set()).add(doc)
+    return grouped

src/personal_mcp/registry/models/__init__.py

@@ -1,47 +1 @@
-from .common import SEMVER_RE
-from .common import SKILL_ID_RE
-from .common import ReferenceEntry
-from .common import StrictFrozenModel
-from .document import MarkdownDocumentModel
-from .document import SkillFilesBundleModel
-from .document import to_markdown_document_model
-from .prompt import PromptArgumentEntry
-from .prompt import PromptDocumentModel
-from .prompt import PromptFrontmatter
-from .prompt import PromptMetadata
-from .registry import DocsRegistry
-from .registry import PromptRecord
-from .registry import PromptSummaryRecord
-from .registry import ReferenceRecord
-from .registry import SkillRecord
-from .registry import SkillSummaryRecord
-from .skill import PersonalMcpMetadata
-from .skill import SkillDocumentModel
-from .skill import SkillFrontmatter
-from .skill import SkillMetadata
-from .skill import SkillReferenceDocumentModel
-
-__all__ = [
-    "SEMVER_RE",
-    "SKILL_ID_RE",
-    "DocsRegistry",
-    "MarkdownDocumentModel",
-    "PersonalMcpMetadata",
-    "PromptArgumentEntry",
-    "PromptDocumentModel",
-    "PromptFrontmatter",
-    "PromptMetadata",
-    "PromptRecord",
-    "PromptSummaryRecord",
-    "ReferenceEntry",
-    "ReferenceRecord",
-    "SkillDocumentModel",
-    "SkillFilesBundleModel",
-    "SkillFrontmatter",
-    "SkillMetadata",
-    "SkillRecord",
-    "SkillReferenceDocumentModel",
-    "SkillSummaryRecord",
-    "StrictFrozenModel",
-    "to_markdown_document_model",
-]
+"""Pydantic models for the document registry."""