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refactor: rename the application package to docsgpt
The backend import package is now docsgpt, the name it will carry on PyPI; application was far too generic to install into anyone's site-packages. git mv plus a mechanical rewrite of every import, dotted string and path reference: 734 Python files, the compose files, Dockerfile, workflows, docs, setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage config, .gitignore. Behaviour is unchanged. Kept for one release: - A top-level application package whose meta-path finder resolves application.x.y to the already-imported docsgpt.x.y object, so old imports and entry points (celery -A application.app.celery, uvicorn application.asgi:asgi_app) keep working with a FutureWarning. - Celery registers every application.* task name as an alias of its docsgpt.* task on start-up, so messages queued by the previous release still run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries the previous release wrote are left unread instead of firing twice. The backend image builds from the repository root (docker build -f docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore allow-lists docsgpt/ and application/ and keeps caches, local data, .env files, the sample index files and the Dockerfile out. Compose and the image workflows point at the new context.
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@@ -1,4 +1,4 @@
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"""Tests for application/agents/workflow_agent.py graph loading and saving.
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"""Tests for docsgpt/agents/workflow_agent.py graph loading and saving.
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Tests _parse_embedded_workflow, _load_from_database, and _finalize_workflow_run
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against the ephemeral ``pg_conn`` fixture. Agent construction is bypassed via
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@@ -17,7 +17,7 @@ import pytest
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def _make_agent(*, workflow_id=None, workflow=None, workflow_owner=None,
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decoded_token=None):
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"""Construct a WorkflowAgent bypassing BaseAgent.__init__."""
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from application.agents.workflow_agent import WorkflowAgent
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from docsgpt.agents.workflow_agent import WorkflowAgent
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agent = WorkflowAgent.__new__(WorkflowAgent)
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agent.workflow_id = workflow_id
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agent.workflow_owner = workflow_owner
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@@ -36,9 +36,9 @@ def _patch_db(conn):
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yield conn
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with patch(
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"application.agents.workflow_agent.db_readonly", _yield
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"docsgpt.agents.workflow_agent.db_readonly", _yield
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), patch(
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"application.agents.workflow_agent.db_session", _yield
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"docsgpt.agents.workflow_agent.db_session", _yield
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):
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yield
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@@ -111,7 +111,7 @@ class TestLoadWorkflowGraph:
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assert got is not None
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def test_uses_database_when_id_set(self, pg_conn):
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from application.storage.db.repositories.workflows import (
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from docsgpt.storage.db.repositories.workflows import (
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WorkflowsRepository,
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)
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user = "u-loadwf"
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@@ -135,7 +135,7 @@ class TestLoadFromDatabase:
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assert agent._load_from_database() is None
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def test_owner_from_decoded_token(self, pg_conn):
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from application.storage.db.repositories.workflows import (
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from docsgpt.storage.db.repositories.workflows import (
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WorkflowsRepository,
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)
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user = "u-token-owner"
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@@ -159,7 +159,7 @@ class TestLoadFromDatabase:
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def test_invalid_version_falls_back_to_1(self, pg_conn):
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"""When current_graph_version is invalid it falls back to 1."""
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from application.storage.db.repositories.workflows import (
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from docsgpt.storage.db.repositories.workflows import (
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WorkflowsRepository,
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)
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user = "u-bad-version"
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@@ -179,7 +179,7 @@ class TestLoadFromDatabase:
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agent = _make_agent(workflow_id="x", workflow_owner="u")
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with patch(
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"application.agents.workflow_agent.db_readonly", _broken
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"docsgpt.agents.workflow_agent.db_readonly", _broken
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):
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got = agent._load_from_database()
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assert got is None
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@@ -214,10 +214,10 @@ class TestSaveWorkflowRun:
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agent._finalize_workflow_run(agent.workflow_owner, agent.workflow_owner, None, "q")
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def test_creates_run_row(self, pg_conn):
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from application.storage.db.repositories.workflows import (
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from docsgpt.storage.db.repositories.workflows import (
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WorkflowsRepository,
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)
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from application.storage.db.repositories.workflow_runs import (
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from docsgpt.storage.db.repositories.workflow_runs import (
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WorkflowRunsRepository,
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)
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@@ -259,7 +259,7 @@ class TestSaveWorkflowRun:
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yield
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with patch(
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"application.agents.workflow_agent.db_session", _broken
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"docsgpt.agents.workflow_agent.db_session", _broken
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):
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# Should not raise
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agent._finalize_workflow_run(agent.workflow_owner, agent.workflow_owner, None, "q")
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@@ -267,13 +267,13 @@ class TestSaveWorkflowRun:
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class TestDetermineRunStatus:
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def test_completed_when_no_engine(self):
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from application.agents.workflows.schemas import ExecutionStatus
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from docsgpt.agents.workflows.schemas import ExecutionStatus
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agent = _make_agent()
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assert agent._determine_run_status() == ExecutionStatus.COMPLETED
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def test_completed_when_log_empty(self):
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from application.agents.workflows.schemas import ExecutionStatus
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from docsgpt.agents.workflows.schemas import ExecutionStatus
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agent = _make_agent()
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agent._engine = MagicMock()
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@@ -281,7 +281,7 @@ class TestDetermineRunStatus:
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assert agent._determine_run_status() == ExecutionStatus.COMPLETED
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def test_failed_if_any_log_failed(self):
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from application.agents.workflows.schemas import ExecutionStatus
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from docsgpt.agents.workflows.schemas import ExecutionStatus
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agent = _make_agent()
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agent._engine = MagicMock()
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@@ -343,14 +343,14 @@ class TestAgentNodeApprovalPause:
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"""A node agent whose tool pauses for approval must fail the node visibly, not emit empty output."""
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def test_tool_calls_pending_raises_clear_error(self, monkeypatch):
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from application.agents.workflows import workflow_engine as we
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from application.agents.workflows.schemas import (
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from docsgpt.agents.workflows import workflow_engine as we
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from docsgpt.agents.workflows.schemas import (
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NodeType,
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Workflow,
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WorkflowGraph,
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WorkflowNode,
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)
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from application.agents.workflows.workflow_engine import WorkflowEngine
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from docsgpt.agents.workflows.workflow_engine import WorkflowEngine
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# An ephemeral node agent whose LLM handler yields the pause signal and ends,
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# emitting no "answer". Previously the engine dropped it and the node completed
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