refactor: serve MCP bundles under <name>/mcp with nginx guard; rename core->mcp_server

- collect.py: copy repo MCP bundles to ROOT/<name>/mcp (instead of ROOT/mcp/<name>); add nginx location guard to deny /<name>/mcp/
- config.py: bundle roots now point to <repo>/mcp and standards/mcp for static bundles
- Rename core.py -> mcp_server.py and update imports in main.py and registry.py
- Dockerfile: per-repo MCP COPYs under /app/<name>/mcp, drop blog copy; add ports 8008/8009 in .drone.yml
- Restore standards/mcp/libraries.json from git for registry server
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2026-10-11 23:37:46 +05:30
parent c5619bc5e8
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{
"module": "dagpipe.engine",
"content": {
"path": "dagpipe.engine",
"docstring": "# Summary\n\nExecution engine responsible for running pipelines and graphs.\n\nThe `Engine` executes `Node` objects and propagates immutable `State` instances\nthrough either a linear sequence or a directed acyclic graph (`Graph`).\nIt orchestrates execution order, branching, and state propagation.\n\n---\n\n# Guarantees\n\n- Deterministic execution and consistent state lineage.\n- Orchestrates execution without modifying `Graph`, `Node`, or `State` objects.",
"objects": {
"Graph": {
"name": "Graph",
"kind": "class",
"path": "dagpipe.engine.Graph",
"signature": "Graph()",
"docstring": "Directed Acyclic Graph defining execution topology of `Node` objects.\n\nNotes:\n **Responsibilities:**\n\n - Stores node connectivity and validates that the topology remains acyclic.\n - Structure determines how `State` flows between nodes during execution.\n\n **Guarantees:**\n\n - Topology is acyclic. Node relationships remain consistent.\n - Thread-safe for concurrent reads after construction.",
"members": {
"add_edge": {
"name": "add_edge",
"kind": "function",
"path": "dagpipe.engine.Graph.add_edge",
"signature": "add_edge(src: Node, dst: Node)",
"docstring": "Add a directed edge from `src` to `dst`.\n\nArgs:\n src (Node):\n Source node.\n\n dst (Node):\n Destination node.\n\nRaises:\n TypeError:\n If `src` or `dst` is not a `Node`.\n\n ValueError:\n If the edge would create a cycle or if `src` and `dst` are common.\n\nNotes:\n - Validates node types.\n - Prevents cycles.\n - Registers nodes if not present.\n - Updates parent and child mappings."
},
"add_root": {
"name": "add_root",
"kind": "function",
"path": "dagpipe.engine.Graph.add_root",
"signature": "add_root(node: Node)",
"docstring": "Add a root node with no parents.\n\nArgs:\n node (Node):\n Node to add as a root.\n\nRaises:\n TypeError:\n If node is not a Node instance."
},
"children": {
"name": "children",
"kind": "function",
"path": "dagpipe.engine.Graph.children",
"signature": "children(node: Node)",
"docstring": "Return child nodes of a node.\n\nArgs:\n node (Node):\n Node to query.\n\nReturns:\n tuple[Node, ...]:\n Outgoing neighbors."
},
"parents": {
"name": "parents",
"kind": "function",
"path": "dagpipe.engine.Graph.parents",
"signature": "parents(node: Node)",
"docstring": "Return parent nodes of a node.\n\nArgs:\n node (Node):\n Node to query.\n\nReturns:\n tuple[Node, ...]:\n Incoming neighbors."
},
"roots": {
"name": "roots",
"kind": "function",
"path": "dagpipe.engine.Graph.roots",
"signature": "roots()",
"docstring": "Return root nodes (nodes with no incoming edges).\n\nReturns:\n tuple[Node, ...]:\n Entry point nodes."
},
"nodes": {
"name": "nodes",
"kind": "function",
"path": "dagpipe.engine.Graph.nodes",
"signature": "nodes()",
"docstring": "Return all nodes in the graph.\n\nReturns:\n tuple[Node, ...]:\n All registered nodes."
}
}
},
"AsyncNode": {
"name": "AsyncNode",
"kind": "class",
"path": "dagpipe.engine.AsyncNode",
"signature": null,
"docstring": "Base class for nodes whose execution is asynchronous.\n\nSubclasses implement `resolve_async` (an async generator yielding derived\n`State` objects). The engine dispatches to `resolve_async` when running an\nasync traversal (see `Engine.run_async`).\n\nSync-only engines (and the base `Node.run`) treat an `AsyncNode` as a no-op\nconsumer: calling `run` on an `AsyncNode` returns no states, signalling that\nan async engine is required.",
"members": {
"resolve": {
"name": "resolve",
"kind": "function",
"path": "dagpipe.engine.AsyncNode.resolve",
"signature": "resolve(state: State)",
"docstring": "Execute no-op resolution in sync contexts.\n\nSync-only engines (and the base `Node.run`) treat an `AsyncNode` as a\nno-op consumer: this returns no states, signalling that an async engine\nis required.\n\nArgs:\n state (State):\n Input execution state.\n\nReturns:\n Iterable[State]:\n Empty tuple, since async execution is handled by\n `resolve_async`."
},
"resolve_async": {
"name": "resolve_async",
"kind": "function",
"path": "dagpipe.engine.AsyncNode.resolve_async",
"signature": "resolve_async(state: State)",
"docstring": "Execute node logic asynchronously.\n\nArgs:\n state (State):\n Input execution state.\n\nReturns:\n Iterable[State]:\n Derived execution state(s).\n\nNotes:\n **Guarantees:**\n\n - Subclasses implement this.\n - Must not mutate the input state.\n - Should use `fork()` to create child states."
},
"run_async": {
"name": "run_async",
"kind": "function",
"path": "dagpipe.engine.AsyncNode.run_async",
"signature": "run_async(state: State)",
"docstring": "Execute this node asynchronously on a state, validating outputs.\n\nArgs:\n state (State):\n Input execution state.\n\nReturns:\n tuple[State, ...]:\n Derived execution states.\n\nRaises:\n TypeError:\n If `resolve_async()` yields a non-`State` object."
}
}
},
"Node": {
"name": "Node",
"kind": "class",
"path": "dagpipe.engine.Node",
"signature": null,
"docstring": "Base class for all dagpipe execution nodes.\n\nAttributes:\n id (str):\n Unique identifier of the node (snake_case dotted format).\n\n name (str):\n Human-readable display name.\n\nNotes:\n **Responsibilities:**\n\n - Represents a deterministic unit of execution in the pipeline graph.\n - Consumes one `State` and produces zero, one, or many derived states.\n - Defines execution logic and enables branching, filtering, and transformation.\n\n **Guarantees:**\n\n - Nodes must never mutate the input `State`.\n - Instances are singletons per subclass and reused across executions.",
"members": {
"id": {
"name": "id",
"kind": "attribute",
"path": "dagpipe.engine.Node.id",
"signature": null,
"docstring": null
},
"name": {
"name": "name",
"kind": "attribute",
"path": "dagpipe.engine.Node.name",
"signature": null,
"docstring": null
},
"node_id_to_name": {
"name": "node_id_to_name",
"kind": "function",
"path": "dagpipe.engine.Node.node_id_to_name",
"signature": "node_id_to_name(node_id: str)",
"docstring": "Convert a dotted snake_case node ID into a human-readable name.\n\nArgs:\n node_id (str):\n Unique node identifier (e.g., 'entity.resolve.numeric_merchant').\n\nReturns:\n str:\n Human-readable display name (e.g., 'Entity › Resolve › Numeric Merchant')."
},
"clean_id_and_name": {
"name": "clean_id_and_name",
"kind": "function",
"path": "dagpipe.engine.Node.clean_id_and_name",
"signature": "clean_id_and_name()",
"docstring": "Normalize and validate node ID and display name.\n\nRaises:\n TypeError:\n If ID is not a string.\n ValueError:\n If ID format is invalid.\n\nNotes:\n **Guarantees:**\n\n - Generates ID from module and class name if missing.\n - Validates ID format.\n - Generates human-readable name if missing."
},
"run": {
"name": "run",
"kind": "function",
"path": "dagpipe.engine.Node.run",
"signature": "run(state: State)",
"docstring": "Execute this node on a `State`.\n\nArgs:\n state (State):\n Input execution state.\n\nReturns:\n tuple[State, ...]:\n Derived execution states.\n\nRaises:\n TypeError:\n If `resolve()` yields a non-`State` object."
},
"fork": {
"name": "fork",
"kind": "function",
"path": "dagpipe.engine.Node.fork",
"signature": "fork(state: State, *, payload_update: Any = None, confidence_delta: float = 0.0, metadata_update: Any = None)",
"docstring": "Create a child `State` attributed to this node.\n\nArgs:\n state (State):\n Parent execution state.\n\n payload_update (Any, optional):\n Dot-path payload updates.\n\n confidence_delta (float, optional):\n Confidence adjustment.\n\n metadata_update (Any, optional):\n Metadata updates.\n\nReturns:\n State:\n New child execution state.\n\nNotes:\n **Responsibilities:**\n\n - Convenience wrapper around `State.fork()` that automatically\n records this node's ID in state history."
},
"resolve": {
"name": "resolve",
"kind": "function",
"path": "dagpipe.engine.Node.resolve",
"signature": "resolve(state: State)",
"docstring": "Execute node logic.\n\nArgs:\n state (State):\n Input execution state.\n\nReturns:\n Iterable[State]:\n Derived execution state(s).\n\nNotes:\n **Responsibilities:**\n\n - Subclasses implement specific resolution behavior.\n - Must not mutate input state.\n - Should use `fork()` to create child states.\n - May yield zero states to terminate a branch."
},
"is_async": {
"name": "is_async",
"kind": "function",
"path": "dagpipe.engine.Node.is_async",
"signature": "is_async()",
"docstring": "Return whether this node executes asynchronously.\n\nReturns:\n bool:\n True if the node is an `AsyncNode` instance."
}
}
},
"State": {
"name": "State",
"kind": "class",
"path": "dagpipe.engine.State",
"signature": "State(payload: Payload, confidence: float = 1.0, parent: State | None = None, depth: int = 0, history: tuple[str, ...] = tuple(), metadata: dict[str, Any] = dict())",
"docstring": "Immutable execution state propagated through dagpipe pipeline.\n\nAttributes:\n payload (Payload):\n Execution data container.\n\n schema (ClassVar[Schema]):\n Payload validation schema.\n\n confidence (float):\n Execution confidence score.\n\n parent (Optional[State]):\n Parent state reference.\n\n depth (int):\n Execution depth.\n\n history (Tuple[str, ...]):\n Ordered node execution lineage.\n\n metadata (Dict[str, Any]):\n Execution metadata.\n\nNotes:\n **Responsibilities:**\n\n - Represents a complete execution snapshot at a specific point in\n pipeline traversal.\n - Fundamental unit of execution in `dagpipe`.\n - Fully thread-safe due to immutability.",
"members": {
"payload": {
"name": "payload",
"kind": "attribute",
"path": "dagpipe.engine.State.payload",
"signature": null,
"docstring": null
},
"schema": {
"name": "schema",
"kind": "attribute",
"path": "dagpipe.engine.State.schema",
"signature": null,
"docstring": null
},
"confidence": {
"name": "confidence",
"kind": "attribute",
"path": "dagpipe.engine.State.confidence",
"signature": null,
"docstring": null
},
"parent": {
"name": "parent",
"kind": "attribute",
"path": "dagpipe.engine.State.parent",
"signature": null,
"docstring": null
},
"depth": {
"name": "depth",
"kind": "attribute",
"path": "dagpipe.engine.State.depth",
"signature": null,
"docstring": null
},
"history": {
"name": "history",
"kind": "attribute",
"path": "dagpipe.engine.State.history",
"signature": null,
"docstring": null
},
"metadata": {
"name": "metadata",
"kind": "attribute",
"path": "dagpipe.engine.State.metadata",
"signature": null,
"docstring": null
},
"fork": {
"name": "fork",
"kind": "function",
"path": "dagpipe.engine.State.fork",
"signature": "fork(*, payload_update: Mapping[str, Any] | None = None, confidence_delta: float = 0.0, node_id: str | None = None, metadata_update: Mapping[str, Any] | None = None)",
"docstring": "Create a new child `State` derived from this state.\n\nArgs:\n payload_update (Mapping[str, Any] | None, optional):\n Dot-path updates applied to the payload.\n\n confidence_delta (float, optional):\n Adjustment applied to current confidence.\n\n node_id (str | None, optional):\n Identifier of the node creating this state.\n\n metadata_update (Mapping[str, Any] | None, optional):\n Updates merged into state metadata.\n\nReturns:\n State:\n A new immutable `State` instance.\n\nNotes:\n **Guarantees:**\n\n - This is the only supported mechanism for modifying execution data.\n - Validates payload updates, preserves lineage, increments depth,\n and appends to history."
},
"lineage": {
"name": "lineage",
"kind": "function",
"path": "dagpipe.engine.State.lineage",
"signature": "lineage()",
"docstring": "Return lineage from root to this State.\n\nReturns:\n tuple[State, ...]:\n Ordered execution lineage (root first)."
},
"get": {
"name": "get",
"kind": "function",
"path": "dagpipe.engine.State.get",
"signature": "get(key: str, default: Any = None)",
"docstring": "Retrieve payload value.\n\nArgs:\n key (str):\n Dot-path key.\n default (Any, optional):\n Fallback value.\n\nReturns:\n Any:\n Stored value or default."
},
"has": {
"name": "has",
"kind": "function",
"path": "dagpipe.engine.State.has",
"signature": "has(key: str)",
"docstring": "Check whether payload contains key.\n\nArgs:\n key (str):\n Dot-path key.\n\nReturns:\n bool:\n Existence of the key."
}
}
},
"StepHook": {
"name": "StepHook",
"kind": "attribute",
"path": "dagpipe.engine.StepHook",
"signature": null,
"docstring": null
},
"AsyncStepHook": {
"name": "AsyncStepHook",
"kind": "attribute",
"path": "dagpipe.engine.AsyncStepHook",
"signature": null,
"docstring": null
},
"ProgressMessage": {
"name": "ProgressMessage",
"kind": "class",
"path": "dagpipe.engine.ProgressMessage",
"signature": "ProgressMessage(*, lines: int | None = None, blocks: int | None = None, count: int | None = None, unit: str | None = None, raw_ocr_line: str | None = None, error: str | None = None, step: str = '', status: str = '')",
"docstring": "Lightweight progress payload emitted by engine step hooks.\n\nMirrors the imperative `ProgressMessage` used by the legacy orchestrator so\ncallers can surface counts/lines/errors without coupling the engine to pydantic.\n\nAttributes:\n lines (int | None):\n Optional count of processed lines.\n\n blocks (int | None):\n Optional count of processed blocks.\n\n count (int | None):\n Optional generic item count.\n\n unit (str | None):\n Optional unit for the count (e.g., 'pages').\n\n raw_ocr_line (str | None):\n Optional raw OCR line payload.\n\n error (str | None):\n Optional error description.\n\n step (str):\n Identifier of the step that emitted the message.\n\n status (str):\n Status label associated with the step.\n\nNotes:\n **Guarantees:**\n\n - Immutable after construction (attributes are never reassigned).\n - Independent of pydantic; safe to construct in the engine core.",
"members": {
"lines": {
"name": "lines",
"kind": "attribute",
"path": "dagpipe.engine.ProgressMessage.lines",
"signature": null,
"docstring": null
},
"blocks": {
"name": "blocks",
"kind": "attribute",
"path": "dagpipe.engine.ProgressMessage.blocks",
"signature": null,
"docstring": null
},
"count": {
"name": "count",
"kind": "attribute",
"path": "dagpipe.engine.ProgressMessage.count",
"signature": null,
"docstring": null
},
"unit": {
"name": "unit",
"kind": "attribute",
"path": "dagpipe.engine.ProgressMessage.unit",
"signature": null,
"docstring": null
},
"raw_ocr_line": {
"name": "raw_ocr_line",
"kind": "attribute",
"path": "dagpipe.engine.ProgressMessage.raw_ocr_line",
"signature": null,
"docstring": null
},
"error": {
"name": "error",
"kind": "attribute",
"path": "dagpipe.engine.ProgressMessage.error",
"signature": null,
"docstring": null
},
"step": {
"name": "step",
"kind": "attribute",
"path": "dagpipe.engine.ProgressMessage.step",
"signature": null,
"docstring": null
},
"status": {
"name": "status",
"kind": "attribute",
"path": "dagpipe.engine.ProgressMessage.status",
"signature": null,
"docstring": null
},
"as_dict": {
"name": "as_dict",
"kind": "function",
"path": "dagpipe.engine.ProgressMessage.as_dict",
"signature": "as_dict() -> dict[str, Any]",
"docstring": "Return the message as a plain dictionary.\n\nReturns:\n dict[str, Any]:\n All attribute values keyed by their attribute name."
}
}
},
"StepResult": {
"name": "StepResult",
"kind": "class",
"path": "dagpipe.engine.StepResult",
"signature": "StepResult(index: int, node_id: str, states: tuple[State, ...], completed: bool)",
"docstring": "A single checkpointed step within an async/resumable engine run.\n\nAttributes:\n index (int): Ordinal index of the step.\n node_id (str): Identifier of the node associated with this step.\n states (tuple[State, ...]): States produced by running this step.\n completed (bool): Whether this step succeeded (vs. paused/interrupted).",
"members": {
"index": {
"name": "index",
"kind": "attribute",
"path": "dagpipe.engine.StepResult.index",
"signature": null,
"docstring": null
},
"node_id": {
"name": "node_id",
"kind": "attribute",
"path": "dagpipe.engine.StepResult.node_id",
"signature": null,
"docstring": null
},
"states": {
"name": "states",
"kind": "attribute",
"path": "dagpipe.engine.StepResult.states",
"signature": null,
"docstring": null
},
"completed": {
"name": "completed",
"kind": "attribute",
"path": "dagpipe.engine.StepResult.completed",
"signature": null,
"docstring": null
}
}
},
"Engine": {
"name": "Engine",
"kind": "class",
"path": "dagpipe.engine.Engine",
"signature": "Engine(nodes_or_graph: Sequence[Node] | Graph, *, on_step: StepHook | None = None)",
"docstring": "Execution engine responsible for running pipeline logic.\n\nNotes:\n **Responsibilities:**\n\n - Accepts either a linear sequence of `Node` objects or a `Graph`\n defining execution topology.\n - Propagates immutable `State` objects through `Node` objects and\n collects terminal states.\n - Supports synchronous (`run`) and asynchronous (`run_async`)\n execution, dispatching per-node.\n - Supports step-wise / resumable execution and progress hooks.\n\n **Guarantees:**\n\n - Never mutates `State`, `Node`, or `Graph` instances.\n - `State` objects are never modified in place; each branch produces\n independent instances.\n - Execution order is deterministic and follows graph or pipeline topology.\n - Thread-safe for concurrent execution.",
"members": {
"MODE_LINEAR": {
"name": "MODE_LINEAR",
"kind": "attribute",
"path": "dagpipe.engine.Engine.MODE_LINEAR",
"signature": null,
"docstring": null
},
"MODE_GRAPH": {
"name": "MODE_GRAPH",
"kind": "attribute",
"path": "dagpipe.engine.Engine.MODE_GRAPH",
"signature": null,
"docstring": null
},
"run": {
"name": "run",
"kind": "function",
"path": "dagpipe.engine.Engine.run",
"signature": "run(root: State) -> list[State]",
"docstring": "Execute the pipeline starting from a root `State`.\n\nArgs:\n root (State):\n Initial execution state.\n\nReturns:\n list[State]:\n Terminal execution states produced by the pipeline.\n\nRaises:\n TypeError:\n If `root` is not a `State` instance.\n\n RuntimeError:\n If the engine execution mode is invalid.\n\nNotes:\n **Responsibilities:**\n\n - Selects execution mode, propagates state through nodes, creates\n new instances for branches, and collects terminal states."
},
"run_async": {
"name": "run_async",
"kind": "function",
"path": "dagpipe.engine.Engine.run_async",
"signature": "run_async(root: State) -> list[State]",
"docstring": "Execute the pipeline starting from `root`, dispatching sync vs async nodes.\n\nArgs:\n root (State):\n Initial execution state.\n\nReturns:\n list[State]:\n Terminal execution states produced by the pipeline.\n\nNotes:\n Each node is executed with `Node.run` when synchronous and\n `AsyncNode.run_async` when asynchronous. Linear and graph topologies\n are both supported."
},
"run_steps": {
"name": "run_steps",
"kind": "function",
"path": "dagpipe.engine.Engine.run_steps",
"signature": "run_steps(root: State, *, resume_from: int | None = None, on_step: StepHook | None = None) -> Iterator[StepResult]",
"docstring": "Execute the pipeline step-by-step, yielding one `StepResult` per step.\n\nArgs:\n root (State):\n Initial execution state.\n\n resume_from (int | None, optional):\n Skip steps at index < `resume_from` (for resume-after-partial).\n Steps are 0-indexed.\n\n on_step (StepHook | None, optional):\n Callback `(step, status, message)` invoked per step; falls back\n to the engine-level hook when unset.\n\nYields:\n StepResult:\n One per executed node/step, carrying the produced states.\n\nNotes:\n This is a synchronous, generator-based checkpoint interface compatible\n with the imperative resume-by-step behaviour of the legacy\n orchestrator. Use `run_steps_async` for async nodes."
},
"run_steps_async": {
"name": "run_steps_async",
"kind": "function",
"path": "dagpipe.engine.Engine.run_steps_async",
"signature": "run_steps_async(root: State, *, resume_from: int | None = None, on_step: AsyncStepHook | None = None) -> AsyncIterator[StepResult]",
"docstring": "Async variant of `run_steps` supporting `AsyncNode` execution.\n\nArgs:\n root (State):\n Initial execution state.\n\n resume_from (int | None, optional):\n Skip steps at index < `resume_from`.\n\n on_step (AsyncStepHook | None, optional):\n Async callback `(step, status, message)` invoked per step.\n\nYields:\n StepResult:\n One per executed node/step."
},
"nodes": {
"name": "nodes",
"kind": "attribute",
"path": "dagpipe.engine.Engine.nodes",
"signature": null,
"docstring": "Return nodes managed by this engine.\n\nReturns:\n tuple[Node, ...]:\n Ordered sequence in linear mode or all nodes in graph mode."
}
}
}
}
}
}