mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-28 02:46:35 +03:00
209 lines
8.7 KiB
Python
209 lines
8.7 KiB
Python
"""This module contains helpers and subcommands for integrating spaCy projects
|
|
with Data Version Controk (DVC). https://dvc.org"""
|
|
from typing import Dict, Any, List, Optional
|
|
import subprocess
|
|
from pathlib import Path
|
|
from wasabi import msg
|
|
|
|
from .._util import PROJECT_FILE, load_project_config, get_hash, project_cli
|
|
from .._util import Arg, Opt, NAME, COMMAND
|
|
from ...util import working_dir, split_command, join_command, run_command
|
|
|
|
|
|
DVC_CONFIG = "dvc.yaml"
|
|
DVC_DIR = ".dvc"
|
|
UPDATE_COMMAND = "dvc"
|
|
DVC_CONFIG_COMMENT = f"""# This file is auto-generated by spaCy based on your {PROJECT_FILE}. If you've
|
|
# edited your {PROJECT_FILE}, you can regenerate this file by running:
|
|
# {COMMAND} project {UPDATE_COMMAND}"""
|
|
|
|
|
|
@project_cli.command(UPDATE_COMMAND)
|
|
def project_update_dvc_cli(
|
|
# fmt: off
|
|
project_dir: Path = Arg(Path.cwd(), help="Location of project directory. Defaults to current working directory.", exists=True, file_okay=False),
|
|
workflow: Optional[str] = Arg(None, help=f"Name of workflow defined in {PROJECT_FILE}. Defaults to first workflow if not set."),
|
|
verbose: bool = Opt(False, "--verbose", "-V", help="Print more info"),
|
|
force: bool = Opt(False, "--force", "-F", help="Force update DVC config"),
|
|
# fmt: on
|
|
):
|
|
"""Auto-generate Data Version Control (DVC) config. A DVC
|
|
project can only define one pipeline, so you need to specify one workflow
|
|
defined in the project.yml. If no workflow is specified, the first defined
|
|
workflow is used. The DVC config will only be updated if the project.yml changed.
|
|
"""
|
|
project_update_dvc(project_dir, workflow, verbose=verbose, force=force)
|
|
|
|
|
|
def project_update_dvc(
|
|
project_dir: Path,
|
|
workflow: Optional[str] = None,
|
|
*,
|
|
verbose: bool = False,
|
|
force: bool = False,
|
|
) -> None:
|
|
"""Update the auto-generated Data Version Control (DVC) config file. A DVC
|
|
project can only define one pipeline, so you need to specify one workflow
|
|
defined in the project.yml. Will only update the file if the checksum changed.
|
|
|
|
project_dir (Path): The project directory.
|
|
workflow (Optional[str]): Optional name of workflow defined in project.yml.
|
|
If not set, the first workflow will be used.
|
|
verbose (bool): Print more info.
|
|
force (bool): Force update DVC config.
|
|
"""
|
|
config = load_project_config(project_dir)
|
|
updated = update_dvc_config(
|
|
project_dir, config, workflow, verbose=verbose, force=force
|
|
)
|
|
help_msg = "To execute the workflow with DVC, run: dvc repro"
|
|
if updated:
|
|
msg.good(f"Updated DVC config from {PROJECT_FILE}", help_msg)
|
|
else:
|
|
msg.info(f"No changes found in {PROJECT_FILE}, no update needed", help_msg)
|
|
|
|
|
|
def update_dvc_config(
|
|
path: Path,
|
|
config: Dict[str, Any],
|
|
workflow: Optional[str] = None,
|
|
verbose: bool = False,
|
|
silent: bool = False,
|
|
force: bool = False,
|
|
) -> bool:
|
|
"""Re-run the DVC commands in dry mode and update dvc.yaml file in the
|
|
project directory. The file is auto-generated based on the config. The
|
|
first line of the auto-generated file specifies the hash of the config
|
|
dict, so if any of the config values change, the DVC config is regenerated.
|
|
|
|
path (Path): The path to the project directory.
|
|
config (Dict[str, Any]): The loaded project.yml.
|
|
verbose (bool): Whether to print additional info (via DVC).
|
|
silent (bool): Don't output anything (via DVC).
|
|
force (bool): Force update, even if hashes match.
|
|
RETURNS (bool): Whether the DVC config file was updated.
|
|
"""
|
|
ensure_dvc(path)
|
|
workflows = config.get("workflows", {})
|
|
workflow_names = list(workflows.keys())
|
|
check_workflows(workflow_names, workflow)
|
|
if not workflow:
|
|
workflow = workflow_names[0]
|
|
config_hash = get_hash(config)
|
|
path = path.resolve()
|
|
dvc_config_path = path / DVC_CONFIG
|
|
if dvc_config_path.exists():
|
|
# Check if the file was generated using the current config, if not, redo
|
|
with dvc_config_path.open("r", encoding="utf8") as f:
|
|
ref_hash = f.readline().strip().replace("# ", "")
|
|
if ref_hash == config_hash and not force:
|
|
return False # Nothing has changed in project.yml, don't need to update
|
|
dvc_config_path.unlink()
|
|
variables = config.get("variables", {})
|
|
dvc_commands = []
|
|
config_commands = {cmd["name"]: cmd for cmd in config.get("commands", [])}
|
|
for name in workflows[workflow]:
|
|
command = config_commands[name]
|
|
deps = command.get("deps", [])
|
|
outputs = command.get("outputs", [])
|
|
outputs_no_cache = command.get("outputs_no_cache", [])
|
|
if not deps and not outputs and not outputs_no_cache:
|
|
continue
|
|
# Default to the working dir as the project path since dvc.yaml is auto-generated
|
|
# and we don't want arbitrary paths in there
|
|
project_cmd = ["python", "-m", NAME, "project", "run", name]
|
|
deps_cmd = [c for cl in [["-d", p] for p in deps] for c in cl]
|
|
outputs_cmd = [c for cl in [["-o", p] for p in outputs] for c in cl]
|
|
outputs_nc_cmd = [c for cl in [["-O", p] for p in outputs_no_cache] for c in cl]
|
|
dvc_cmd = ["run", "-n", name, "-w", str(path), "--no-exec"]
|
|
if command.get("no_skip"):
|
|
dvc_cmd.append("--always-changed")
|
|
full_cmd = [*dvc_cmd, *deps_cmd, *outputs_cmd, *outputs_nc_cmd, *project_cmd]
|
|
dvc_commands.append(join_command(full_cmd))
|
|
with working_dir(path):
|
|
dvc_flags = {"--verbose": verbose, "--quiet": silent}
|
|
run_dvc_commands(dvc_commands, variables, flags=dvc_flags)
|
|
with dvc_config_path.open("r+", encoding="utf8") as f:
|
|
content = f.read()
|
|
f.seek(0, 0)
|
|
f.write(f"# {config_hash}\n{DVC_CONFIG_COMMENT}\n{content}")
|
|
return True
|
|
|
|
|
|
def run_dvc_commands(
|
|
commands: List[str] = tuple(),
|
|
variables: Dict[str, str] = {},
|
|
flags: Dict[str, bool] = {},
|
|
) -> None:
|
|
"""Run a sequence of DVC commands in a subprocess, in order.
|
|
|
|
commands (List[str]): The string commands without the leading "dvc".
|
|
variables (Dict[str, str]): Dictionary of variable names, mapped to their
|
|
values. Will be used to substitute format string variables in the
|
|
commands.
|
|
flags (Dict[str, bool]): Conditional flags to be added to command. Makes it
|
|
easier to pass flags like --quiet that depend on a variable or
|
|
command-line setting while avoiding lots of nested conditionals.
|
|
"""
|
|
for command in commands:
|
|
# Substitute variables, e.g. "./{NAME}.json"
|
|
command = command.format(**variables)
|
|
command = split_command(command)
|
|
dvc_command = ["dvc", *command]
|
|
# Add the flags if they are set to True
|
|
for flag, is_active in flags.items():
|
|
if is_active:
|
|
dvc_command.append(flag)
|
|
run_command(dvc_command)
|
|
|
|
|
|
def check_workflows(workflows: List[str], workflow: Optional[str] = None) -> None:
|
|
"""Validate workflows provided in project.yml and check that a given
|
|
workflow can be used to generate a DVC config.
|
|
|
|
workflows (List[str]): Names of the available workflows.
|
|
workflow (Optional[str]): The name of the workflow to convert.
|
|
"""
|
|
if not workflows:
|
|
msg.fail(
|
|
f"No workflows defined in {PROJECT_FILE}. To generate a DVC config, "
|
|
f"define at least one list of commands.",
|
|
exits=1,
|
|
)
|
|
if workflow is not None and workflow not in workflows:
|
|
msg.fail(
|
|
f"Workflow '{workflow}' not defined in {PROJECT_FILE}. "
|
|
f"Available workflows: {', '.join(workflows)}",
|
|
exits=1,
|
|
)
|
|
if not workflow:
|
|
msg.warn(
|
|
f"No workflow specified for DVC pipeline. Using the first workflow "
|
|
f"defined in {PROJECT_FILE}: '{workflows[0]}'"
|
|
)
|
|
|
|
|
|
def ensure_dvc(project_dir: Path) -> None:
|
|
"""Ensure that the "dvc" command is available and that the current project
|
|
directory is an initialized DVC project.
|
|
"""
|
|
try:
|
|
subprocess.run(["dvc", "--version"], stdout=subprocess.DEVNULL)
|
|
except Exception:
|
|
msg.fail(
|
|
"To use spaCy projects with DVC (Data Version Control), DVC needs "
|
|
"to be installed and the 'dvc' command needs to be available",
|
|
"You can install the Python package from pip (pip install dvc) or "
|
|
"conda (conda install -c conda-forge dvc). For more details, see the "
|
|
"documentation: https://dvc.org/doc/install",
|
|
exits=1,
|
|
)
|
|
if not (project_dir / ".dvc").exists():
|
|
msg.fail(
|
|
"Project not initialized as a DVC project",
|
|
"To initialize a DVC project, you can run 'dvc init' in the project "
|
|
"directory. For more details, see the documentation: "
|
|
"https://dvc.org/doc/command-reference/init",
|
|
exits=1,
|
|
)
|