Merge pull request #2743 from arc53/feat/pypi-package

feat: publish the backend to PyPI as docsgpt
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Alex authored and GitHub committed 2026-09-08 18:31:48 +01:00
commit 55239fc345
22 files changed
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@@ -0,0 +1,88 @@
name: Build the Python package
# Builds the sdist and wheel, checks the wheel carries the data the app reads
# at runtime and nothing from the checkout, then installs it into a clean
# environment and runs the docsgpt command.
on:
pull_request:
paths:
- 'pyproject.toml'
- 'uv.lock'
- 'docsgpt/**'
- 'README.md'
- 'LICENSE'
- '.github/workflows/package-build.yml'
push:
branches: [main]
paths:
- 'pyproject.toml'
- 'uv.lock'
- 'docsgpt/**'
- 'README.md'
- 'LICENSE'
- '.github/workflows/package-build.yml'
workflow_dispatch:
permissions:
contents: read
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262 # v4.4.0
with:
persist-credentials: false
- uses: astral-sh/setup-uv@d0cc045d04ccac9d8b7881df0226f9e82c39688e # v6.8.0
- name: Build the sdist and wheel
run: uv build
- name: Check the archives
run: |
uvx twine check --strict dist/*
python3 - <<'PY'
import glob
import zipfile
names = set(zipfile.ZipFile(glob.glob("dist/*.whl")[0]).namelist())
for required in (
"docsgpt/cli.py",
"docsgpt/alembic.ini",
"docsgpt/alembic/env.py",
"docsgpt/alembic/script.py.mako",
"docsgpt/prompts/chat_reduce_prompt.txt",
"docsgpt/prompts/fragments/identity.txt",
"docsgpt/core/models/_defaults.yaml",
"docsgpt/seed/config/premade_agents.yaml",
):
assert required in names, f"missing from the wheel: {required}"
for banned in (
"docsgpt/Dockerfile",
"docsgpt/requirements.txt",
"docsgpt/requirements-docling.txt",
"docsgpt/index.faiss",
"docsgpt/index.pkl",
"application/__init__.py",
):
assert banned not in names, f"must not ship: {banned}"
stray = [n for n in names if n.startswith(("docsgpt/indexes/", "docsgpt/inputs/", "docsgpt/vectors/"))]
assert not stray, stray
print(f"wheel ok: {len(names)} files")
PY
- name: Install the wheel into a clean environment and run the command
run: |
uv venv "$RUNNER_TEMP/docsgpt-venv"
uv pip install --python "$RUNNER_TEMP/docsgpt-venv/bin/python" dist/*.whl
"$RUNNER_TEMP/docsgpt-venv/bin/docsgpt" --version
"$RUNNER_TEMP/docsgpt-venv/bin/docsgpt" --help
"$RUNNER_TEMP/docsgpt-venv/bin/docsgpt" api --help
"$RUNNER_TEMP/docsgpt-venv/bin/python" -c "from docsgpt.core import paths; print('home:', paths.home_dir())"
- uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: dist
path: dist/
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name: Publish to PyPI
# Trusted publishing: PyPI trusts this workflow file in arc53/DocsGPT running
# in the `pypi` environment, so no API token is stored. A published release
# (which the backend-release workflow creates when docsgpt/version.py changes
# on main) publishes to PyPI; a manual run publishes to TestPyPI by default.
on:
release:
types: [published]
workflow_dispatch:
inputs:
target:
description: Package index to publish to
type: choice
options: [testpypi, pypi]
default: testpypi
permissions:
contents: read
jobs:
build:
if: github.repository == 'arc53/DocsGPT'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262 # v4.4.0
with:
persist-credentials: false
- uses: astral-sh/setup-uv@d0cc045d04ccac9d8b7881df0226f9e82c39688e # v6.8.0
with:
# A publishing workflow must not restore a cache another job could have poisoned.
enable-cache: false
- name: Build the sdist and wheel
run: uv build
- name: The archives carry the released version
if: github.event_name == 'release'
env:
TAG: ${{ github.event.release.tag_name }}
run: |
ls "dist/docsgpt-${TAG}.tar.gz" "dist/docsgpt-${TAG}-py3-none-any.whl"
- uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: dist
path: dist/
if-no-files-found: error
publish-pypi:
if: github.event_name == 'release' || inputs.target == 'pypi'
needs: build
runs-on: ubuntu-latest
environment:
name: pypi
url: https://pypi.org/project/docsgpt/
permissions:
id-token: write
steps:
- uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
name: dist
path: dist/
- uses: pypa/gh-action-pypi-publish@dc37677b2e1c63e2034f94d8a5b11f265b73ba33 # v1.14.2
publish-testpypi:
if: github.event_name == 'workflow_dispatch' && inputs.target == 'testpypi'
needs: build
runs-on: ubuntu-latest
environment:
name: testpypi
url: https://test.pypi.org/project/docsgpt/
permissions:
id-token: write
steps:
- uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
name: dist
path: dist/
- uses: pypa/gh-action-pypi-publish@dc37677b2e1c63e2034f94d8a5b11f265b73ba33 # v1.14.2
with:
repository-url: https://test.pypi.org/legacy/
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@@ -206,3 +206,6 @@ tests/e2e/.e2e-last-run.json
docsgpt/core/models/foundry_test_internal.yaml
bench/
/benchmark/
# Python package build output (uv build)
dist/
+8
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@@ -37,6 +37,14 @@ uv pip install -r docsgpt/requirements.txt # or: pip install -r docsgpt/require
# (the file adds the PyTorch CPU index; prefer `uv sync --extra docling`).
```
The backend is also an installable package (`pyproject.toml`, hatchling).
`uv sync` installs it editable and puts a `docsgpt` command on PATH:
`docsgpt api --reload`, `docsgpt worker`, `docsgpt migrate`,
`docsgpt prefetch-models`, `docsgpt verify-offline`. Runtime data (`.env`,
`inputs/`, `indexes/`) lives in the checkout by default; `DOCSGPT_HOME` moves
that data home, and `DOCSGPT_ENV_FILE` selects only the `.env` file (see
`docsgpt/core/paths.py`).
Dependencies are declared in `pyproject.toml` and locked in `uv.lock`; the
`docsgpt/requirements*.txt` files are exported from the lock. To add or
bump a package: edit `pyproject.toml`, run `uv lock`, then
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@@ -0,0 +1,101 @@
---
title: Install with pip
description: Run the DocsGPT backend from the PyPI package, inside your own Python environment.
---
import { Callout } from 'nextra/components'
# Install with pip
The DocsGPT backend is on PyPI as [`docsgpt`](https://pypi.org/project/docsgpt/): the API server, the Celery worker and the maintenance scripts in one package, behind a single `docsgpt` command. Use it when you want DocsGPT inside your own Python environment or process manager rather than the [Docker images](/Deploying/Docker-Deploying).
<Callout type="info">
The package is the backend only. The web UI ships in the Docker images and in the repository under `frontend/`; serving it from the package is planned.
</Callout>
## Requirements
- Python 3.12 or newer
- [PostgreSQL](/Deploying/Postgres-Migration) for user data, with the `vector` extension if you set `VECTOR_STORE=pgvector`
- Redis for the task queue and the cache
- An LLM: an API key for a hosted provider, or a local model server
## Install
```bash
python -m venv .venv && source .venv/bin/activate
pip install docsgpt
```
Extras add the optional engines:
```bash
pip install "docsgpt[docling]" # DOC_PARSER_ENGINE=docling: OCR backend, structured output
pip install "docsgpt[milvus]" # VECTOR_STORE=milvus
```
The `docling` extra pulls in PyTorch, and on Linux the PyPI torch wheels bring the CUDA stack with them. On a CPU-only machine install the CPU build first, then the extra; pip keeps the torch it already has:
```bash
pip install --index-url https://download.pytorch.org/whl/cpu torch torchvision
pip install "docsgpt[docling]"
```
`uv pip install` accepts the same two commands. With `pipx`, install `docsgpt[docling]` first, then replace the CUDA build inside its environment (`--no-deps` keeps pip from touching torch's dependencies, which the PyTorch index carries in older copies):
```bash
pipx runpip docsgpt install --force-reinstall --no-deps --index-url https://download.pytorch.org/whl/cpu torch torchvision
```
## Configure
DocsGPT keeps its runtime files in a **data home**: the `.env` file it reads settings from, uploaded files under `inputs/` and vector indexes under `indexes/`. The data home is the directory you run the commands from, or the directory `DOCSGPT_HOME` points to. `DOCSGPT_ENV_FILE` points at a `.env` kept somewhere else.
Create a `.env` in the data home. The minimum for a hosted LLM:
```ini
# LLM provider and model: see App Configuration for the options
LLM_PROVIDER=openai
LLM_NAME=<model name>
API_KEY=<provider API key>
# User data
POSTGRES_URI=postgresql://docsgpt:<password>@localhost:5432/docsgpt
# Worker-to-API authentication (required for uploads)
INTERNAL_KEY=<a long random string>
```
Redis defaults to `localhost:6379` (`CELERY_BROKER_URL`, `CELERY_RESULT_BACKEND`, `CACHE_REDIS_URL`). Every setting is listed in [App Configuration](/Deploying/DocsGPT-Settings).
## Run
```bash
docsgpt migrate # create the database if it is missing and apply the migrations
docsgpt api # the API on http://127.0.0.1:7091
docsgpt worker # in a second terminal: the Celery worker, with the scheduler
```
`docsgpt api` listens on localhost only. Pass `--host 0.0.0.0` to accept connections from other machines or containers, and put a reverse proxy with TLS in front of it for anything public.
The API applies pending migrations when it starts (`AUTO_MIGRATE`), so `docsgpt migrate` is the explicit step for deployments that want the schema in place before the first request or that run the API with a restricted database role.
Both commands print the data home they resolved on start-up. Run them from the same directory, or set `DOCSGPT_HOME` for both, so the worker finds the files the API stores and the API finds the indexes the worker builds.
The worker is not optional: query embedding runs on it, so search fails without one. `docsgpt worker --help` lists the queue, concurrency and pool options; `--no-beat` starts a worker without the scheduler when another worker already runs it. On Windows the scheduler cannot be embedded, so run `docsgpt beat` in a third terminal.
Other commands:
- `docsgpt api --reload`: a development server with auto-reload.
- `docsgpt prefetch-models`: download the embedding, tokenizer and parser models ahead of time, for machines that go offline.
- `docsgpt verify-offline`: check that a prepared install starts with networking off.
- `docsgpt reembed`: re-embed every index after changing `EMBEDDINGS_NAME` (see [Upgrading](/upgrading)).
## Upgrade
```bash
pip install -U docsgpt
docsgpt migrate
```
Read the [upgrade notes](/upgrading) first when moving between minor versions.
+4
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@@ -15,6 +15,10 @@ export default {
"title": "🛳️ Docker Setup",
"href": "/Deploying/Docker-Deploying"
},
"Pip-Install": {
"title": "🐍 Install with pip",
"href": "/Deploying/Pip-Install"
},
"Development-Environment": {
"title": "🛠️Development Environment",
"href": "/Deploying/Development-Environment"
+10
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@@ -111,6 +111,16 @@ alias, so nothing breaks on upgrade, but update these before the alias goes:
than it would have (a monthly sync by up to a month). Nothing to do.
- Data directories do not move: the compose files keep your indexes, inputs
and vectors under `application/` in the checkout, where they already are.
- The backend is also a package now (`pip install docsgpt`, see
[Install with pip](/Deploying/Pip-Install)). Runtime data lives in a data
home: `DOCSGPT_HOME`, else the checkout, else the directory the process
starts in. One consequence for a source checkout: the embedded Milvus
(`MILVUS_URI`) and LanceDB (`LANCEDB_PATH`) default paths now resolve under
the checkout instead of the start directory. If you use either store at its
default path and start DocsGPT from another directory, the old data is at
`<start directory>/milvus_local.db` or `<start directory>/data/lancedb`;
point the setting at it, or move it into the checkout. Faiss indexes and
uploads were already stored under the checkout and are unaffected.
## Check your version
+4 -1
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@@ -150,7 +150,10 @@ ENV FLASK_APP=app.py
# Thread caps. onnxruntime (FastEmbed) ignores OMP_NUM_THREADS and sizes its
# pool to the host's core count, which a CPU-limited container still reports;
# EMBEDDINGS_THREADS pins it the way OMP_NUM_THREADS pinned torch before.
ENV MALLOC_ARENA_MAX=2 \
# The image ships no checkout, so pin the data home (inputs, indexes, .env)
# instead of depending on the working directory.
ENV DOCSGPT_HOME=/app \
MALLOC_ARENA_MAX=2 \
OMP_NUM_THREADS=4 \
MKL_NUM_THREADS=4 \
OPENBLAS_NUM_THREADS=4 \
+2 -3
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@@ -5,6 +5,7 @@ from flask import Blueprint, request, send_from_directory, jsonify
from werkzeug.utils import secure_filename
import logging
from docsgpt.core.paths import home_dir
from docsgpt.core.settings import settings
from docsgpt.storage.db.base_repository import looks_like_uuid
from docsgpt.storage.db.repositories.sources import SourcesRepository
@@ -14,9 +15,7 @@ from docsgpt.storage.storage_creator import StorageCreator
logger = logging.getLogger(__name__)
current_dir = os.path.dirname(
os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
)
current_dir = str(home_dir())
internal = Blueprint("internal", __name__)
-4
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@@ -32,10 +32,6 @@ from docsgpt.vectorstore.vector_creator import VectorCreator
storage = StorageCreator.get_storage()
current_dir = os.path.dirname(
os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
)
def generate_minute_range(start_date, end_date):
"""Generate a dictionary with minute-level time ranges."""
return {
+2 -1
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@@ -11,6 +11,7 @@ from werkzeug.exceptions import RequestEntityTooLarge
from docsgpt.auth import handle_auth
from docsgpt.core import log_context
from docsgpt.core.paths import env_file
from docsgpt.core.logging_config import setup_logging
setup_logging()
@@ -53,7 +54,7 @@ if platform.system() == "Windows":
import pathlib
pathlib.PosixPath = pathlib.WindowsPath
dotenv.load_dotenv()
dotenv.load_dotenv(env_file())
# Self-bootstrap the user-data Postgres DB. Runs before any blueprint or
# repository touches the engine, so the first request can't race the
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@@ -0,0 +1,180 @@
"""The ``docsgpt`` command: run the API, the worker and the maintenance scripts.
Every subcommand imports what it needs when it runs, so ``docsgpt --help``
stays instant and does not touch the database.
"""
from __future__ import annotations
import argparse
import logging
import os
import sys
from typing import Optional, Sequence
from docsgpt.version import __version__
DEFAULT_HOST = "127.0.0.1"
DEFAULT_PORT = 7091
def _announce_home() -> None:
"""Say where runtime data and the env file come from; the API and the worker must agree."""
from docsgpt.core.paths import env_file, home_dir
print(f"docsgpt: data home {home_dir()} (env file {env_file()})", file=sys.stderr)
def _api(args: argparse.Namespace) -> int:
"""Serve the ASGI app: gunicorn with the bounded-drain uvicorn worker, or uvicorn when reloading."""
_announce_home()
if args.reload or sys.platform == "win32":
import uvicorn
uvicorn.run("docsgpt.asgi:asgi_app", host=args.host, port=args.port, reload=args.reload)
return 0
from gunicorn.app.wsgiapp import run as gunicorn_run
argv = [
"gunicorn",
"-w", str(args.workers),
"-k", "docsgpt.gunicorn_worker.BoundedDrainUvicornWorker",
"--bind", f"{args.host}:{args.port}",
"--timeout", "180",
"--graceful-timeout", "120",
"--keep-alive", "5",
"--max-requests", "5000",
"--max-requests-jitter", "500",
"--config", "python:docsgpt.gunicorn_conf",
]
if os.path.isdir("/dev/shm"):
argv += ["--worker-tmp-dir", "/dev/shm"]
argv.append("docsgpt.asgi:asgi_app")
sys.argv = argv
gunicorn_run()
return 0
def _celery(argv: list[str]) -> int:
"""Run a celery subcommand on the app and return its exit code (usage errors print usage)."""
import click
from docsgpt.app import celery
try:
code = celery.start(argv)
except click.ClickException as exc:
exc.show()
return exc.exit_code
return int(code or 0)
def _worker(args: argparse.Namespace) -> int:
"""Run the Celery worker, with the beat scheduler embedded unless ``--no-beat`` (or on Windows)."""
_announce_home()
windows = sys.platform == "win32"
argv = ["worker", "-l", args.loglevel]
if args.queues:
argv += ["-Q", args.queues]
if args.concurrency:
argv += ["--concurrency", str(args.concurrency)]
if args.beat and windows:
print("docsgpt: the embedded scheduler is not available on Windows; run `docsgpt beat` separately.", file=sys.stderr)
elif args.beat:
argv.append("-B")
pool = args.pool or ("solo" if sys.platform in ("darwin", "win32") else None)
if pool:
argv += ["--pool", pool]
return _celery(argv)
def _beat(args: argparse.Namespace) -> int:
"""Run the beat scheduler on its own (Windows, or a worker started with ``--no-beat``)."""
_announce_home()
return _celery(["beat", "-l", args.loglevel])
def _migrate(args: argparse.Namespace) -> int:
"""Create the Postgres database if asked and migrate it to head."""
from docsgpt.core.settings import settings
from docsgpt.storage.db.bootstrap import ensure_database_ready
_announce_home()
logging.basicConfig(level=logging.INFO, format="%(levelname)s %(name)s: %(message)s")
if not settings.POSTGRES_URI:
print("POSTGRES_URI is not set; nothing to migrate.", file=sys.stderr)
return 2
ensure_database_ready(
settings.POSTGRES_URI,
create_db=args.create_db,
migrate=True,
logger=logging.getLogger("docsgpt.migrate"),
)
return 0
# Maintenance scripts keep their own argument parsers; the command hands
# everything after the script name to them untouched (argparse would try to
# interpret the options itself).
SCRIPTS = {
"prefetch-models": ("prefetch_models", "download the embedding, tokenizer and parser models"),
"verify-offline": ("verify_offline", "check that the install runs with networking off"),
"reembed": ("reembed", "re-embed every index with the configured embedding model"),
}
def _run_script(module: str, argv: list[str]) -> int:
import importlib
return int(importlib.import_module(f"docsgpt.scripts.{module}").main(argv) or 0)
def build_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(prog="docsgpt", description="DocsGPT: private AI for agents, assistants and search.")
parser.add_argument("--version", action="version", version=f"docsgpt {__version__}")
commands = parser.add_subparsers(dest="command", metavar="<command>")
api = commands.add_parser("api", help="serve the HTTP API")
api.add_argument("--host", default=DEFAULT_HOST, help="interface to listen on (default: localhost; 0.0.0.0 for all)")
api.add_argument("--port", type=int, default=DEFAULT_PORT)
api.add_argument("--workers", type=int, default=1, help="gunicorn worker processes (default: 1)")
api.add_argument("--reload", action="store_true", help="development mode: uvicorn with auto-reload")
api.set_defaults(func=_api)
worker = commands.add_parser("worker", help="run the Celery worker (and the scheduler)")
worker.add_argument("-Q", "--queues", help="queues to consume (default: every configured queue)")
worker.add_argument("--concurrency", type=int, help="worker processes (default: one per CPU)")
worker.add_argument("--pool", help="celery pool (default: prefork; solo on macOS and Windows)")
worker.add_argument("-l", "--loglevel", default="INFO")
worker.add_argument("--no-beat", dest="beat", action="store_false", help="do not embed the beat scheduler")
worker.set_defaults(func=_worker)
beat = commands.add_parser("beat", help="run the beat scheduler on its own")
beat.add_argument("-l", "--loglevel", default="INFO")
beat.set_defaults(func=_beat)
migrate = commands.add_parser("migrate", help="create the database if needed and run the migrations")
migrate.add_argument("--no-create", dest="create_db", action="store_false", help="fail instead of creating a missing database")
migrate.set_defaults(func=_migrate)
for name, (module, help_text) in SCRIPTS.items():
commands.add_parser(name, help=f"{help_text} (docsgpt.scripts.{module})", add_help=False)
return parser
def main(argv: Optional[Sequence[str]] = None) -> int:
argv = list(sys.argv[1:] if argv is None else argv)
if argv and argv[0] in SCRIPTS:
return _run_script(SCRIPTS[argv[0]][0], argv[1:])
parser = build_parser()
args = parser.parse_args(argv)
if not args.command:
parser.print_help()
return 2
return args.func(args)
if __name__ == "__main__":
sys.exit(main())
+50
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@@ -0,0 +1,50 @@
"""Where DocsGPT keeps its files.
Three locations matter. The package directory holds code and the data that
ships with it (prompts, model catalogs, migrations). A checkout, when the
package is imported from one, is the directory holding ``pyproject.toml``.
The data home is where runtime data lives: ``.env``, ``inputs``, ``indexes``.
The home is ``DOCSGPT_HOME`` when set, else the checkout, else the current
directory. That keeps a source checkout and the Docker image (which runs from
``/app`` with the package beside it) behaving as before, and gives a
``pip install docsgpt`` user a home that is not ``site-packages``.
"""
from __future__ import annotations
import os
from pathlib import Path
HOME_ENV = "DOCSGPT_HOME"
ENV_FILE_ENV = "DOCSGPT_ENV_FILE"
def package_dir() -> Path:
"""The installed ``docsgpt`` package directory."""
return Path(__file__).resolve().parent.parent
def checkout_root() -> Path | None:
"""The source checkout the package is imported from, or None when installed."""
root = package_dir().parent
return root if (root / "pyproject.toml").is_file() else None
def home_dir() -> Path:
"""Directory for runtime data: ``DOCSGPT_HOME``, else the checkout, else cwd."""
configured = os.environ.get(HOME_ENV)
if configured:
return Path(configured).expanduser().resolve()
return checkout_root() or Path.cwd()
def env_file() -> Path:
"""The ``.env`` file settings load: ``DOCSGPT_ENV_FILE``, else ``<home>/.env``."""
configured = os.environ.get(ENV_FILE_ENV)
if configured:
path = Path(configured).expanduser()
if not path.is_file():
raise FileNotFoundError(f"{ENV_FILE_ENV} is set to {path}, which is not a file")
return path
return home_dir() / ".env"
+9 -10
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@@ -1,17 +1,17 @@
import os
from pathlib import Path
from typing import Optional
from pydantic import AliasChoices, Field, field_validator
from pydantic_settings import BaseSettings, SettingsConfigDict
current_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from docsgpt.core.db_uri import ( # noqa: E402
from docsgpt.core.db_uri import (
normalize_pgvector_connection_string,
normalize_postgres_uri,
)
from docsgpt.core.paths import env_file, home_dir
# Runtime data home (DOCSGPT_HOME, the checkout, or cwd); see docsgpt.core.paths.
current_dir = str(home_dir())
class Settings(BaseSettings):
@@ -326,11 +326,12 @@ class Settings(BaseSettings):
PGVECTOR_IVFFLAT_PROBES: Optional[int] = None
# Milvus vectorstore config
MILVUS_COLLECTION_NAME: Optional[str] = "docsgpt"
MILVUS_URI: Optional[str] = "./milvus_local.db" # milvus lite version as default
# milvus-lite (embedded) database file, under the data home like the other local stores
MILVUS_URI: Optional[str] = Field(default_factory=lambda: str(home_dir() / "milvus_local.db"))
MILVUS_TOKEN: Optional[str] = ""
# LanceDB vectorstore config
LANCEDB_PATH: str = "./data/lancedb" # Path where LanceDB stores its local data
LANCEDB_PATH: str = Field(default_factory=lambda: str(home_dir() / "data" / "lancedb")) # LanceDB local data
LANCEDB_TABLE_NAME: Optional[str] = "docsgpts" # Name of the table to use for storing vectors
FLASK_DEBUG_MODE: bool = False
@@ -581,6 +582,4 @@ class Settings(BaseSettings):
return stripped
# Project root is one level above application/
path = Path(__file__).parent.parent.parent.absolute()
settings = Settings(_env_file=path.joinpath(".env"), _env_file_encoding="utf-8")
settings = Settings(_env_file=env_file(), _env_file_encoding="utf-8")
+11 -1
View File
@@ -97,11 +97,21 @@ def prefetch(names: Sequence[str], cache_dir: Optional[str] = None) -> List[str]
return fetched
def _parse(argv: Optional[Sequence[str]], prog: str, description: str) -> list[str]:
import argparse
parser = argparse.ArgumentParser(prog=prog, description=description)
parser.add_argument(
"models", nargs="*", help=f"embedding model names or aliases (default: {', '.join(DEFAULT_MODELS)})"
)
return parser.parse_args(argv).models or list(DEFAULT_MODELS)
def main(argv: Optional[Sequence[str]] = None) -> int:
logging.basicConfig(level=logging.INFO, format="%(levelname)s %(message)s")
import os
names = list(argv) if argv else list(DEFAULT_MODELS)
names = _parse(argv, "prefetch-models", "Download the embedding models and the tiktoken encodings into the local caches.")
fetched = prefetch(names, os.environ.get("EMBEDDINGS_CACHE_DIR"))
logger.info("Cached %d model(s): %s", len(fetched), ", ".join(fetched))
encodings = prefetch_tiktoken()
+9 -1
View File
@@ -138,8 +138,16 @@ def _docling_check() -> object:
def main(argv: Optional[Sequence[str]] = None) -> int:
import argparse
logging.basicConfig(level=logging.WARNING, format="%(levelname)s %(message)s")
models: List[str] = list(argv) if argv else list(DEFAULT_MODELS)
parser = argparse.ArgumentParser(
prog="verify-offline", description="Check that the install serves its defaults without network access."
)
parser.add_argument(
"models", nargs="*", help=f"embedding model names or aliases to check (default: {', '.join(DEFAULT_MODELS)})"
)
models: List[str] = parser.parse_args(argv).models or list(DEFAULT_MODELS)
if _network_reachable():
print("note network is reachable; run with --network none to prove the offline path")
else:
+4 -4
View File
@@ -4,6 +4,7 @@ import shutil
import tempfile
from typing import BinaryIO, List, Callable
from docsgpt.core.paths import home_dir
from docsgpt.storage.base import BaseStorage
@@ -15,11 +16,10 @@ class LocalStorage(BaseStorage):
Initialize local storage.
Args:
base_dir: Base directory for all operations. If None, uses current directory.
base_dir: Base directory for all operations. Defaults to the data home
(see ``docsgpt.core.paths.home_dir``).
"""
self.base_dir = base_dir or os.path.dirname(
os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
)
self.base_dir = base_dir or str(home_dir())
def _get_full_path(self, path: str) -> str:
"""Get absolute path by combining base_dir and path.
-4
View File
@@ -380,10 +380,6 @@ def generate_random_string(length):
return "".join([string.ascii_letters[i % 52] for i in range(length)])
current_dir = os.path.dirname(
os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
)
# Zip extraction security limits. Kept as module constants for backward
# compatibility with worker callers/tests; values come from operator settings.
MAX_UNCOMPRESSED_SIZE = settings.UPLOAD_MAX_ARCHIVE_BYTES
+141 -80
View File
@@ -1,58 +1,80 @@
[build-system]
requires = ["hatchling>=1.27,<2"]
build-backend = "hatchling.build"
[project]
name = "docsgpt"
# Bump together with docsgpt/version.py and frontend/package.json.
version = "0.19.0"
# The version is read from docsgpt/version.py (the release workflow reads the
# same file); bump it there.
dynamic = ["version"]
description = "DocsGPT backend: chat with your documents, agents, and tools."
readme = "README.md"
requires-python = ">=3.12"
license = { file = "LICENSE" }
license = "MIT"
license-files = ["LICENSE"]
authors = [{ name = "Arc53" }]
keywords = ["rag", "llm", "agents", "documents", "chat", "search"]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Environment :: Web Environment",
"Framework :: Flask",
"Intended Audience :: Developers",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
# Direct dependencies only. Transitive pins live in uv.lock; the pip-facing
# files under docsgpt/ (requirements*.txt) are exported from that lock by
# scripts/export_requirements.sh and must not be edited by hand.
# Direct dependencies only, as compatible ranges: the floor is the version
# uv.lock pins, the ceiling the next major (next minor below 1.0), so the
# PyPI package installs next to other packages. The pip-facing files under
# docsgpt/ (requirements*.txt) are exported from the lock by
# scripts/export_requirements.sh and must not be edited by hand; Docker, CI
# and the checkout install those exact versions.
dependencies = [
"a2wsgi==1.10.10",
"a2wsgi>=1.10.10,<2",
"alembic>=1.13,<2",
"anthropic==0.121.0",
"beautifulsoup4==4.15.0",
"boto3==1.43.67",
"cel-python==0.5.0",
"celery==5.6.3",
"celery-redbeat==2.4.2",
"croniter==6.2.4",
"cryptography==50.0.0",
"dataclasses-json==0.6.7",
"daytona==0.205.1",
"ddgs>=8.0.0",
"defusedxml==0.7.1",
"docx2txt==0.9",
"elevenlabs==2.62.0",
"faiss-cpu==1.15.0",
"fast-ebook",
"anthropic>=0.121.0,<0.122",
"beautifulsoup4>=4.15.0,<5",
"boto3>=1.43.67,<2",
"cel-python>=0.5.0,<0.6",
"celery>=5.6.3,<6",
"celery-redbeat>=2.4.2,<3",
"croniter>=6.2.4,<7",
"cryptography>=50.0.0,<51",
"dataclasses-json>=0.6.7,<0.7",
"daytona>=0.205.1,<0.206",
"ddgs>=8.0.0,<10",
"defusedxml>=0.7.1,<0.8",
"docx2txt>=0.9,<0.10",
"elevenlabs>=2.62.0,<3",
"faiss-cpu>=1.15.0,<2",
"fast-ebook>=0.2.0,<0.3",
# Default document converter (DOC_PARSER_ENGINE=anydoc): a Rust extension
# with no model downloads. The docling engine is the `docling` extra.
"firecrawl-anydoc==0.2.3",
"fastembed==0.8.0",
"fastmcp==3.4.6",
"Flask==3.1.3",
"flask-restx==1.3.2",
"google-api-python-client==2.198.0",
"google-auth-oauthlib==1.4.0",
"google-genai==2.17.0",
"gTTS==2.5.4",
"gunicorn==26.0.0",
"jinja2==3.1.6",
"kombu==5.6.2",
"markdownify==1.2.3",
"msal==1.37.0",
"networkx==3.6.1",
"numpy==2.5.1",
"firecrawl-anydoc>=0.2.3,<0.3",
"fastembed>=0.8.0,<0.9",
"fastmcp>=3.4.6,<4",
"Flask>=3.1.3,<4",
"flask-restx>=1.3.2,<2",
"google-api-python-client>=2.198.0,<3",
"google-auth-oauthlib>=1.4.0,<2",
"google-genai>=2.17.0,<3",
"gTTS>=2.5.4,<3",
"gunicorn>=26.0.0,<27",
"jinja2>=3.1.6,<4",
"kombu>=5.6.2,<6",
"markdownify>=1.2.3,<2",
"msal>=1.37.0,<2",
"networkx>=3.6.1,<4",
"numpy>=2.5.1,<3",
# fastembed's runtime: local embeddings execute on it.
"onnxruntime==1.28.0",
"openai==2.53.0",
"openapi3-parser==1.1.22",
"onnxruntime>=1.28.0,<2",
"openai>=2.53.0,<3",
"openapi3-parser>=1.1.22,<2",
# pandas reads .xlsx through openpyxl but does not depend on it.
"openpyxl==3.1.5",
"openpyxl>=3.1.5,<4",
"opentelemetry-distro>=0.50b0,<1",
"opentelemetry-exporter-otlp>=1.29.0,<2",
"opentelemetry-instrumentation-celery>=0.50b0,<1",
@@ -63,59 +85,72 @@ dependencies = [
"opentelemetry-instrumentation-requests>=0.50b0,<1",
"opentelemetry-instrumentation-sqlalchemy>=0.50b0,<1",
"opentelemetry-instrumentation-starlette>=0.50b0,<1",
"pandas==3.0.5",
"pdf2image>=1.17.0",
"pandas>=3.0.5,<4",
"pdf2image>=1.17.0,<2",
"pgvector>=0.5,<1",
"pillow==12.3.0",
"praw==8.0.2",
"pillow>=12.3.0,<13",
"praw>=8.0.2,<9",
"psycopg[binary,pool]>=3.1,<4",
"pydantic",
"pydantic-settings",
"pypdf==6.15.0",
"pypdfium2==5.12.1",
"python-dateutil==2.9.0.post0",
"python-dotenv",
"python-jose==3.5.0",
"python-pptx==1.0.2",
"PyYAML",
"qdrant-client==1.19.0",
"redis==7.4.0",
"requests==2.34.2",
"retry==0.9.2",
"pydantic>=2.13.5,<3",
"pydantic-settings>=2.15.0,<3",
"pypdf>=6.15.0,<7",
"pypdfium2>=5.12.1,<6",
"python-dateutil>=2.9.0,<3",
"python-dotenv>=1.2.3,<2",
"python-jose>=3.5.0,<4",
"python-pptx>=1.0.2,<2",
"PyYAML>=6.0.3,<7",
"qdrant-client>=1.19.0,<2",
"redis>=7.4.0,<8",
"requests>=2.34.2,<3",
"retry>=0.9.2,<0.10",
"sqlalchemy>=2.0,<3",
"starlette>=1.0,<2",
"tiktoken==0.13.0",
"tldextract==5.3.2",
"tokenizers==0.22.2",
"tqdm==4.67.3",
"tiktoken>=0.13.0,<0.14",
"tldextract>=5.3.2,<6",
"tokenizers>=0.22.2,<0.23",
"tqdm>=4.67.3,<5",
"uvicorn[standard]>=0.30,<1",
"uvicorn-worker>=0.4,<1",
"websocket-client==1.9.0",
"werkzeug>=3.1.0",
"websocket-client>=1.9.0,<2",
"werkzeug>=3.1.0,<4",
]
[project.optional-dependencies]
# Docling parser engine: DOC_PARSER_ENGINE=docling, the docling OCR backend
# (layout-model hybrid OCR, ocrmac/rapidocr engines), .adoc/.vtt/.xml
# attachment parsing, and read_document's `structured` output. Pulls torch and
# transformers; on Linux torch resolves from the CPU-only PyTorch index (see
# [tool.uv.sources]) so the extra does not drag the CUDA stack in.
# transformers; with uv on Linux torch resolves from the CPU-only PyTorch index
# (see [tool.uv.sources]) so the extra does not drag the CUDA stack in. pip
# users on Linux install torch and torchvision from that index first
# (--index-url https://download.pytorch.org/whl/cpu), then the extra; pip keeps
# the torch it already has.
docling = [
"docling==2.119.0",
"rapidocr==3.9.2",
# docling's model stack. Declared here (not left transitive) so the pins
"docling>=2.119.0,<3",
"rapidocr>=3.9.2,<4",
# docling's model stack. Declared here (not left transitive) so the floors
# hold and the CPU index source below applies. transformers is capped by
# docling-core at <5.9: 5.9+ breaks the PDF layout model on Apple Silicon.
"torch==2.11.0",
"torchvision==0.26.0",
"transformers==5.8.1",
"torch>=2.11.0,<3",
"torchvision>=0.26.0,<0.27",
"transformers>=5.8.1,<5.9",
]
# VECTOR_STORE=milvus. milvus-lite (the embedded server) pulls pyarrow.
milvus = [
"pymilvus==3.0.1",
"milvus-lite==3.2.0; sys_platform != 'win32'",
"pymilvus>=3.0.1,<4",
"milvus-lite>=3.2.0,<4; sys_platform != 'win32'",
]
[project.scripts]
docsgpt = "docsgpt.cli:main"
[project.urls]
Homepage = "https://www.docsgpt.cloud/"
Documentation = "https://docs.docsgpt.cloud/"
Repository = "https://github.com/arc53/DocsGPT"
Issues = "https://github.com/arc53/DocsGPT/issues"
Changelog = "https://github.com/arc53/DocsGPT/releases"
[dependency-groups]
# Mirrors tests/requirements.txt for `uv sync`; pip users install that file.
dev = [
@@ -131,10 +166,36 @@ dev = [
"ruff",
]
[tool.uv]
# The repo is run in place (`application.*` imported from the checkout), not
# installed as a distribution.
package = false
[tool.hatch.version]
path = "docsgpt/version.py"
# The wheel is the docsgpt package with the data it reads at runtime: prompts,
# model catalogs, the seed config, alembic.ini and the migrations. Build inputs
# (Dockerfile, exported requirements), the sample index and local runtime data
# stay out. The one-release `application` import alias is checkout-only.
[tool.hatch.build.targets.wheel]
packages = ["docsgpt"]
exclude = [
"docsgpt/Dockerfile",
"docsgpt/requirements*.txt",
"docsgpt/index.faiss",
"docsgpt/index.pkl",
"docsgpt/indexes/",
"docsgpt/inputs/",
"docsgpt/vectors/",
]
[tool.hatch.build.targets.sdist]
include = ["/docsgpt"]
exclude = [
"docsgpt/Dockerfile",
"docsgpt/requirements*.txt",
"docsgpt/index.faiss",
"docsgpt/index.pkl",
"docsgpt/indexes/",
"docsgpt/inputs/",
"docsgpt/vectors/",
]
[[tool.uv.index]]
name = "pytorch-cpu"
+72
View File
@@ -0,0 +1,72 @@
"""Data home and .env discovery (docsgpt.core.paths)."""
from pathlib import Path
import pytest
from docsgpt.core import paths
REPO_ROOT = Path(__file__).resolve().parents[2]
class TestHomeDir:
def test_the_checkout_wins_over_cwd(self, monkeypatch, tmp_path):
monkeypatch.delenv(paths.HOME_ENV, raising=False)
monkeypatch.chdir(tmp_path)
assert paths.checkout_root() == REPO_ROOT
assert paths.home_dir() == REPO_ROOT
def test_the_env_var_wins(self, monkeypatch, tmp_path):
monkeypatch.setenv(paths.HOME_ENV, str(tmp_path))
assert paths.home_dir() == tmp_path.resolve()
def test_an_installed_package_falls_back_to_cwd(self, monkeypatch, tmp_path):
monkeypatch.delenv(paths.HOME_ENV, raising=False)
monkeypatch.setattr(paths, "checkout_root", lambda: None)
monkeypatch.chdir(tmp_path)
assert paths.home_dir() == Path.cwd()
class TestEnvFile:
def test_default_is_dot_env_in_the_home(self, monkeypatch, tmp_path):
monkeypatch.delenv(paths.ENV_FILE_ENV, raising=False)
monkeypatch.setenv(paths.HOME_ENV, str(tmp_path))
assert paths.env_file() == tmp_path.resolve() / ".env"
def test_the_env_var_wins(self, monkeypatch, tmp_path):
custom = tmp_path / "custom.env"
custom.write_text("LLM_NAME=x\n")
monkeypatch.setenv(paths.ENV_FILE_ENV, str(custom))
assert paths.env_file() == custom
def test_a_missing_configured_file_is_an_error(self, monkeypatch, tmp_path):
"""Booting with every default because of a typo in the path must not be silent."""
monkeypatch.setenv(paths.ENV_FILE_ENV, str(tmp_path / "nope.env"))
with pytest.raises(FileNotFoundError, match="DOCSGPT_ENV_FILE"):
paths.env_file()
class TestSettingsFollowTheHome:
def test_embedded_vector_stores_default_under_the_home(self, monkeypatch, tmp_path):
from docsgpt.core.settings import Settings
monkeypatch.setenv(paths.HOME_ENV, str(tmp_path))
monkeypatch.delenv("MILVUS_URI", raising=False)
monkeypatch.delenv("LANCEDB_PATH", raising=False)
fresh = Settings(_env_file=None)
assert fresh.MILVUS_URI == str(tmp_path.resolve() / "milvus_local.db")
assert fresh.LANCEDB_PATH == str(tmp_path.resolve() / "data" / "lancedb")
def test_env_overrides_still_win(self, monkeypatch, tmp_path):
from docsgpt.core.settings import Settings
monkeypatch.setenv(paths.HOME_ENV, str(tmp_path))
monkeypatch.setenv("LANCEDB_PATH", "/srv/lancedb")
assert Settings(_env_file=None).LANCEDB_PATH == "/srv/lancedb"
class TestPackageDir:
def test_holds_the_shipped_data(self):
assert paths.package_dir().name == "docsgpt"
assert (paths.package_dir() / "alembic.ini").is_file()
assert (paths.package_dir() / "prompts" / "chat_reduce_prompt.txt").is_file()
+151
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@@ -0,0 +1,151 @@
"""The ``docsgpt`` command dispatches to the API server, the worker and the scripts."""
import subprocess
import sys
import types
from pathlib import Path
from unittest.mock import MagicMock
import click
import pytest
from docsgpt import cli
from docsgpt.version import __version__
class TestTopLevel:
def test_version(self, capsys):
with pytest.raises(SystemExit) as exc:
cli.main(["--version"])
assert exc.value.code == 0
assert capsys.readouterr().out.strip() == f"docsgpt {__version__}"
def test_no_command_prints_help(self, capsys):
assert cli.main([]) == 2
assert "worker" in capsys.readouterr().out
def test_importing_the_cli_does_not_boot_the_app(self):
"""``docsgpt --help`` must not import the Flask app, Celery or settings."""
code = (
"import sys, docsgpt.cli; "
"loaded = {m for m in sys.modules if m in ('docsgpt.app', 'docsgpt.core.settings', 'celery', 'flask')}; "
"assert not loaded, loaded"
)
subprocess.run([sys.executable, "-c", code], cwd=Path(__file__).resolve().parents[1], check=True)
class TestApi:
def test_gunicorn_argv(self, monkeypatch, capsys):
run = MagicMock()
monkeypatch.setitem(sys.modules, "gunicorn.app.wsgiapp", types.SimpleNamespace(run=run))
monkeypatch.setattr(sys, "platform", "linux")
monkeypatch.setattr(sys, "argv", ["docsgpt"])
assert cli.main(["api", "--port", "8000", "--workers", "2"]) == 0
run.assert_called_once_with()
argv = sys.argv
assert argv[0] == "gunicorn" and argv[-1] == "docsgpt.asgi:asgi_app"
assert argv[argv.index("--bind") + 1] == "127.0.0.1:8000"
assert argv[argv.index("-w") + 1] == "2"
assert argv[argv.index("-k") + 1] == "docsgpt.gunicorn_worker.BoundedDrainUvicornWorker"
assert argv[argv.index("--config") + 1] == "python:docsgpt.gunicorn_conf"
assert "data home" in capsys.readouterr().err
def test_reload_uses_uvicorn(self, monkeypatch):
uvicorn = types.SimpleNamespace(run=MagicMock())
monkeypatch.setitem(sys.modules, "uvicorn", uvicorn)
assert cli.main(["api", "--reload", "--host", "127.0.0.1"]) == 0
uvicorn.run.assert_called_once_with("docsgpt.asgi:asgi_app", host="127.0.0.1", port=7091, reload=True)
class TestWorker:
@staticmethod
def _celery(monkeypatch, start=None):
celery = MagicMock()
celery.start = start or MagicMock(return_value=0)
monkeypatch.setitem(sys.modules, "docsgpt.app", types.SimpleNamespace(celery=celery))
return celery
def test_defaults_consume_every_configured_queue(self, monkeypatch, capsys):
celery = self._celery(monkeypatch)
monkeypatch.setattr(sys, "platform", "linux")
assert cli.main(["worker"]) == 0
argv = celery.start.call_args.args[0]
assert argv[:3] == ["worker", "-l", "INFO"]
assert "-Q" not in argv, "a bare worker honours EMBEDDINGS_QUEUE and DOCUMENT_PARSE_QUEUE"
assert "-B" in argv
assert "--pool" not in argv
assert "data home" in capsys.readouterr().err
def test_options_and_the_macos_solo_pool(self, monkeypatch):
celery = self._celery(monkeypatch)
monkeypatch.setattr(sys, "platform", "darwin")
assert cli.main(["worker", "--no-beat", "-Q", "embeddings", "--concurrency", "2"]) == 0
argv = celery.start.call_args.args[0]
assert argv[argv.index("--pool") + 1] == "solo"
assert "-B" not in argv
assert argv[argv.index("-Q") + 1] == "embeddings"
assert argv[argv.index("--concurrency") + 1] == "2"
def test_windows_runs_solo_without_the_embedded_scheduler(self, monkeypatch, capsys):
celery = self._celery(monkeypatch)
monkeypatch.setattr(sys, "platform", "win32")
assert cli.main(["worker"]) == 0
argv = celery.start.call_args.args[0]
assert "-B" not in argv
assert argv[argv.index("--pool") + 1] == "solo"
assert "docsgpt beat" in capsys.readouterr().err
def test_the_worker_exit_code_is_returned(self, monkeypatch):
self._celery(monkeypatch, start=MagicMock(return_value=1))
monkeypatch.setattr(sys, "platform", "linux")
assert cli.main(["worker"]) == 1
def test_a_usage_error_prints_usage_instead_of_a_traceback(self, monkeypatch, capsys):
self._celery(monkeypatch, start=MagicMock(side_effect=click.UsageError("No such option: --bogus")))
monkeypatch.setattr(sys, "platform", "linux")
assert cli.main(["worker"]) == 2
assert "No such option" in capsys.readouterr().err
class TestBeat:
def test_runs_the_scheduler_alone(self, monkeypatch):
celery = MagicMock()
celery.start = MagicMock(return_value=0)
monkeypatch.setitem(sys.modules, "docsgpt.app", types.SimpleNamespace(celery=celery))
assert cli.main(["beat", "-l", "DEBUG"]) == 0
assert celery.start.call_args.args[0] == ["beat", "-l", "DEBUG"]
class TestMigrate:
def test_runs_the_bootstrap(self, monkeypatch):
ensure = MagicMock()
monkeypatch.setattr("docsgpt.storage.db.bootstrap.ensure_database_ready", ensure)
monkeypatch.setattr("docsgpt.core.settings.settings.POSTGRES_URI", "postgresql://docsgpt@localhost/docsgpt")
assert cli.main(["migrate", "--no-create"]) == 0
assert ensure.call_args.args[0] == "postgresql://docsgpt@localhost/docsgpt"
assert ensure.call_args.kwargs["create_db"] is False
assert ensure.call_args.kwargs["migrate"] is True
def test_without_a_database_uri(self, monkeypatch, capsys):
monkeypatch.setattr("docsgpt.core.settings.settings.POSTGRES_URI", None)
assert cli.main(["migrate"]) == 2
assert "POSTGRES_URI" in capsys.readouterr().err
class TestScripts:
def test_arguments_pass_through_untouched(self, monkeypatch):
main = MagicMock(return_value=0)
monkeypatch.setattr("docsgpt.scripts.prefetch_models.main", main)
assert cli.main(["prefetch-models", "--embeddings", "x", "--help"]) == 0
main.assert_called_once_with(["--embeddings", "x", "--help"])
def test_the_script_exit_code_is_returned(self, monkeypatch):
monkeypatch.setattr("docsgpt.scripts.verify_offline.main", MagicMock(return_value=3))
assert cli.main(["verify-offline"]) == 3
@pytest.mark.parametrize("script", ["prefetch-models", "verify-offline"])
def test_help_is_help_not_a_model_name(self, script, capsys):
with pytest.raises(SystemExit) as exc:
cli.main([script, "--help"])
assert exc.value.code == 0
assert "models" in capsys.readouterr().out
Generated
+70 -71
View File
@@ -1385,8 +1385,7 @@ standard = [
[[package]]
name = "docsgpt"
version = "0.19.0"
source = { virtual = "." }
source = { editable = "." }
dependencies = [
{ name = "a2wsgi" },
{ name = "alembic" },
@@ -1498,46 +1497,46 @@ dev = [
[package.metadata]
requires-dist = [
{ name = "a2wsgi", specifier = "==1.10.10" },
{ name = "a2wsgi", specifier = ">=1.10.10,<2" },
{ name = "alembic", specifier = ">=1.13,<2" },
{ name = "anthropic", specifier = "==0.121.0" },
{ name = "beautifulsoup4", specifier = "==4.15.0" },
{ name = "boto3", specifier = "==1.43.67" },
{ name = "cel-python", specifier = "==0.5.0" },
{ name = "celery", specifier = "==5.6.3" },
{ name = "celery-redbeat", specifier = "==2.4.2" },
{ name = "croniter", specifier = "==6.2.4" },
{ name = "cryptography", specifier = "==50.0.0" },
{ name = "dataclasses-json", specifier = "==0.6.7" },
{ name = "daytona", specifier = "==0.205.1" },
{ name = "ddgs", specifier = ">=8.0.0" },
{ name = "defusedxml", specifier = "==0.7.1" },
{ name = "docling", marker = "extra == 'docling'", specifier = "==2.119.0" },
{ name = "docx2txt", specifier = "==0.9" },
{ name = "elevenlabs", specifier = "==2.62.0" },
{ name = "faiss-cpu", specifier = "==1.15.0" },
{ name = "fast-ebook" },
{ name = "fastembed", specifier = "==0.8.0" },
{ name = "fastmcp", specifier = "==3.4.6" },
{ name = "firecrawl-anydoc", specifier = "==0.2.3" },
{ name = "flask", specifier = "==3.1.3" },
{ name = "flask-restx", specifier = "==1.3.2" },
{ name = "google-api-python-client", specifier = "==2.198.0" },
{ name = "google-auth-oauthlib", specifier = "==1.4.0" },
{ name = "google-genai", specifier = "==2.17.0" },
{ name = "gtts", specifier = "==2.5.4" },
{ name = "gunicorn", specifier = "==26.0.0" },
{ name = "jinja2", specifier = "==3.1.6" },
{ name = "kombu", specifier = "==5.6.2" },
{ name = "markdownify", specifier = "==1.2.3" },
{ name = "milvus-lite", marker = "sys_platform != 'win32' and extra == 'milvus'", specifier = "==3.2.0" },
{ name = "msal", specifier = "==1.37.0" },
{ name = "networkx", specifier = "==3.6.1" },
{ name = "numpy", specifier = "==2.5.1" },
{ name = "onnxruntime", specifier = "==1.28.0" },
{ name = "openai", specifier = "==2.53.0" },
{ name = "openapi3-parser", specifier = "==1.1.22" },
{ name = "openpyxl", specifier = "==3.1.5" },
{ name = "anthropic", specifier = ">=0.121.0,<0.122" },
{ name = "beautifulsoup4", specifier = ">=4.15.0,<5" },
{ name = "boto3", specifier = ">=1.43.67,<2" },
{ name = "cel-python", specifier = ">=0.5.0,<0.6" },
{ name = "celery", specifier = ">=5.6.3,<6" },
{ name = "celery-redbeat", specifier = ">=2.4.2,<3" },
{ name = "croniter", specifier = ">=6.2.4,<7" },
{ name = "cryptography", specifier = ">=50.0.0,<51" },
{ name = "dataclasses-json", specifier = ">=0.6.7,<0.7" },
{ name = "daytona", specifier = ">=0.205.1,<0.206" },
{ name = "ddgs", specifier = ">=8.0.0,<10" },
{ name = "defusedxml", specifier = ">=0.7.1,<0.8" },
{ name = "docling", marker = "extra == 'docling'", specifier = ">=2.119.0,<3" },
{ name = "docx2txt", specifier = ">=0.9,<0.10" },
{ name = "elevenlabs", specifier = ">=2.62.0,<3" },
{ name = "faiss-cpu", specifier = ">=1.15.0,<2" },
{ name = "fast-ebook", specifier = ">=0.2.0,<0.3" },
{ name = "fastembed", specifier = ">=0.8.0,<0.9" },
{ name = "fastmcp", specifier = ">=3.4.6,<4" },
{ name = "firecrawl-anydoc", specifier = ">=0.2.3,<0.3" },
{ name = "flask", specifier = ">=3.1.3,<4" },
{ name = "flask-restx", specifier = ">=1.3.2,<2" },
{ name = "google-api-python-client", specifier = ">=2.198.0,<3" },
{ name = "google-auth-oauthlib", specifier = ">=1.4.0,<2" },
{ name = "google-genai", specifier = ">=2.17.0,<3" },
{ name = "gtts", specifier = ">=2.5.4,<3" },
{ name = "gunicorn", specifier = ">=26.0.0,<27" },
{ name = "jinja2", specifier = ">=3.1.6,<4" },
{ name = "kombu", specifier = ">=5.6.2,<6" },
{ name = "markdownify", specifier = ">=1.2.3,<2" },
{ name = "milvus-lite", marker = "sys_platform != 'win32' and extra == 'milvus'", specifier = ">=3.2.0,<4" },
{ name = "msal", specifier = ">=1.37.0,<2" },
{ name = "networkx", specifier = ">=3.6.1,<4" },
{ name = "numpy", specifier = ">=2.5.1,<3" },
{ name = "onnxruntime", specifier = ">=1.28.0,<2" },
{ name = "openai", specifier = ">=2.53.0,<3" },
{ name = "openapi3-parser", specifier = ">=1.1.22,<2" },
{ name = "openpyxl", specifier = ">=3.1.5,<4" },
{ name = "opentelemetry-distro", specifier = ">=0.50b0,<1" },
{ name = "opentelemetry-exporter-otlp", specifier = ">=1.29.0,<2" },
{ name = "opentelemetry-instrumentation-celery", specifier = ">=0.50b0,<1" },
@@ -1548,42 +1547,42 @@ requires-dist = [
{ name = "opentelemetry-instrumentation-requests", specifier = ">=0.50b0,<1" },
{ name = "opentelemetry-instrumentation-sqlalchemy", specifier = ">=0.50b0,<1" },
{ name = "opentelemetry-instrumentation-starlette", specifier = ">=0.50b0,<1" },
{ name = "pandas", specifier = "==3.0.5" },
{ name = "pdf2image", specifier = ">=1.17.0" },
{ name = "pandas", specifier = ">=3.0.5,<4" },
{ name = "pdf2image", specifier = ">=1.17.0,<2" },
{ name = "pgvector", specifier = ">=0.5,<1" },
{ name = "pillow", specifier = "==12.3.0" },
{ name = "praw", specifier = "==8.0.2" },
{ name = "pillow", specifier = ">=12.3.0,<13" },
{ name = "praw", specifier = ">=8.0.2,<9" },
{ name = "psycopg", extras = ["binary", "pool"], specifier = ">=3.1,<4" },
{ name = "pydantic" },
{ name = "pydantic-settings" },
{ name = "pymilvus", marker = "extra == 'milvus'", specifier = "==3.0.1" },
{ name = "pypdf", specifier = "==6.15.0" },
{ name = "pypdfium2", specifier = "==5.12.1" },
{ name = "python-dateutil", specifier = "==2.9.0.post0" },
{ name = "python-dotenv" },
{ name = "python-jose", specifier = "==3.5.0" },
{ name = "python-pptx", specifier = "==1.0.2" },
{ name = "pyyaml" },
{ name = "qdrant-client", specifier = "==1.19.0" },
{ name = "rapidocr", marker = "extra == 'docling'", specifier = "==3.9.2" },
{ name = "redis", specifier = "==7.4.0" },
{ name = "requests", specifier = "==2.34.2" },
{ name = "retry", specifier = "==0.9.2" },
{ name = "pydantic", specifier = ">=2.13.5,<3" },
{ name = "pydantic-settings", specifier = ">=2.15.0,<3" },
{ name = "pymilvus", marker = "extra == 'milvus'", specifier = ">=3.0.1,<4" },
{ name = "pypdf", specifier = ">=6.15.0,<7" },
{ name = "pypdfium2", specifier = ">=5.12.1,<6" },
{ name = "python-dateutil", specifier = ">=2.9.0,<3" },
{ name = "python-dotenv", specifier = ">=1.2.3,<2" },
{ name = "python-jose", specifier = ">=3.5.0,<4" },
{ name = "python-pptx", specifier = ">=1.0.2,<2" },
{ name = "pyyaml", specifier = ">=6.0.3,<7" },
{ name = "qdrant-client", specifier = ">=1.19.0,<2" },
{ name = "rapidocr", marker = "extra == 'docling'", specifier = ">=3.9.2,<4" },
{ name = "redis", specifier = ">=7.4.0,<8" },
{ name = "requests", specifier = ">=2.34.2,<3" },
{ name = "retry", specifier = ">=0.9.2,<0.10" },
{ name = "sqlalchemy", specifier = ">=2.0,<3" },
{ name = "starlette", specifier = ">=1.0,<2" },
{ name = "tiktoken", specifier = "==0.13.0" },
{ name = "tldextract", specifier = "==5.3.2" },
{ name = "tokenizers", specifier = "==0.22.2" },
{ name = "torch", marker = "sys_platform == 'linux' and extra == 'docling'", specifier = "==2.11.0", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "sys_platform != 'linux' and extra == 'docling'", specifier = "==2.11.0" },
{ name = "torchvision", marker = "sys_platform == 'linux' and extra == 'docling'", specifier = "==0.26.0", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "sys_platform != 'linux' and extra == 'docling'", specifier = "==0.26.0" },
{ name = "tqdm", specifier = "==4.67.3" },
{ name = "transformers", marker = "extra == 'docling'", specifier = "==5.8.1" },
{ name = "tiktoken", specifier = ">=0.13.0,<0.14" },
{ name = "tldextract", specifier = ">=5.3.2,<6" },
{ name = "tokenizers", specifier = ">=0.22.2,<0.23" },
{ name = "torch", marker = "sys_platform == 'linux' and extra == 'docling'", specifier = ">=2.11.0,<3", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "sys_platform != 'linux' and extra == 'docling'", specifier = ">=2.11.0,<3" },
{ name = "torchvision", marker = "sys_platform == 'linux' and extra == 'docling'", specifier = ">=0.26.0,<0.27", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "sys_platform != 'linux' and extra == 'docling'", specifier = ">=0.26.0,<0.27" },
{ name = "tqdm", specifier = ">=4.67.3,<5" },
{ name = "transformers", marker = "extra == 'docling'", specifier = ">=5.8.1,<5.9" },
{ name = "uvicorn", extras = ["standard"], specifier = ">=0.30,<1" },
{ name = "uvicorn-worker", specifier = ">=0.4,<1" },
{ name = "websocket-client", specifier = "==1.9.0" },
{ name = "werkzeug", specifier = ">=3.1.0" },
{ name = "websocket-client", specifier = ">=1.9.0,<2" },
{ name = "werkzeug", specifier = ">=3.1.0,<4" },
]
provides-extras = ["docling", "milvus"]