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synced 2026-10-14 20:16:48 +00:00
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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@@ -2,7 +2,7 @@ from contextlib import contextmanager
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import pytest
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from application.usage import (
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from docsgpt.usage import (
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_count_prompt_tokens,
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_count_tokens,
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_serialize_for_token_count,
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@@ -33,9 +33,9 @@ def _install_fake_token_repo(monkeypatch):
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"""Replace TokenUsageRepository + db_session with in-memory stubs."""
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_FakeTokenUsageRepo.last_instance = None
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monkeypatch.setattr(
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"application.usage.TokenUsageRepository", _FakeTokenUsageRepo
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"docsgpt.usage.TokenUsageRepository", _FakeTokenUsageRepo
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)
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monkeypatch.setattr("application.usage.db_session", _fake_db_session)
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monkeypatch.setattr("docsgpt.usage.db_session", _fake_db_session)
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@pytest.mark.unit
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@@ -253,7 +253,7 @@ def test_decorator_skips_when_no_attribution(monkeypatch, caplog):
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_ = (model, messages, stream, tools, kwargs)
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return "ok"
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with caplog.at_level(logging.WARNING, logger="application.usage"):
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with caplog.at_level(logging.WARNING, logger="docsgpt.usage"):
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wrapped(
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OrphanLLM(),
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"m",
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@@ -634,7 +634,7 @@ class _ReportingLLM:
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@pytest.mark.unit
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def test_prefer_provider_usage_carries_cache_bins():
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from application.usage import _prefer_provider_usage
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from docsgpt.usage import _prefer_provider_usage
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llm = _ReportingLLM({"cached_tokens": 800, "cache_write_tokens": 100})
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usage = _prefer_provider_usage(llm, {"prompt_tokens": 1, "generated_tokens": 1})
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@@ -646,7 +646,7 @@ def test_prefer_provider_usage_carries_cache_bins():
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@pytest.mark.unit
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def test_prefer_provider_usage_maps_anthropic_cache_creation_to_writes():
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from application.usage import _prefer_provider_usage
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from docsgpt.usage import _prefer_provider_usage
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llm = _ReportingLLM({"cached_tokens": 3, "cache_creation_tokens": 9})
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usage = _prefer_provider_usage(llm, {"prompt_tokens": 1, "generated_tokens": 1})
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@@ -656,7 +656,7 @@ def test_prefer_provider_usage_maps_anthropic_cache_creation_to_writes():
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@pytest.mark.unit
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def test_prefer_provider_usage_without_details_has_no_cache_keys():
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from application.usage import _prefer_provider_usage
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from docsgpt.usage import _prefer_provider_usage
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llm = _ReportingLLM(None)
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usage = _prefer_provider_usage(llm, {"prompt_tokens": 1, "generated_tokens": 1})
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@@ -666,7 +666,7 @@ def test_prefer_provider_usage_without_details_has_no_cache_keys():
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@pytest.mark.unit
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def test_prefer_provider_usage_keeps_the_rest_of_the_call_record():
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from application.usage import _prefer_provider_usage
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from docsgpt.usage import _prefer_provider_usage
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llm = _ReportingLLM(None)
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usage = _prefer_provider_usage(
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