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generate.py
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generate.py
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import ast
import importlib
import inspect
import os
import sys
from typing import List, NamedTuple, Optional, Tuple
from jinja2 import Template
from cosmetics import apply_cosmetics
from tests import TEST_FOLDER
# Set this before importing Airflow
os.environ["AIRFLOW_HOME"] = TEST_FOLDER
os.environ["AIRFLOW__CORE__SQL_ALCHEMY_CONN"] = "sqlite:///{}/airflow.db".format(TEST_FOLDER)
from dag_checks.base import BaseCheck # pylint: disable=wrong-import-position
NL = "\n"
KNOW_NEEDED_CLASSES = {BaseCheck}
CHECK_FOLDER = os.path.join(os.path.dirname(os.path.realpath(__file__)), "dag_checks")
DAG_FILE_PATH = "diagnosis_dag.py"
class Import(NamedTuple):
module: List[str] = []
name: List[str] = []
alias: Optional[str] = None
def __str__(self):
if self.name and self.module:
module_name = ".".join(self.module)
import_str = f"from {module_name} import {self.name[0]}"
import_str = f"{import_str} as {self.alias}" if self.alias else import_str
else:
import_str = f"import {self.name[0]}"
return import_str
def get_imports(file_path: str):
with open(file_path) as file:
root = ast.parse(file.read(), file_path)
for node in ast.iter_child_nodes(root):
if isinstance(node, ast.Import):
module = []
elif isinstance(node, ast.ImportFrom):
module = node.module.split(".")
else:
continue
for name in node.names:
yield Import(module, name.name.split("."), name.asname)
def get_check_class(mod_path: str) -> List[BaseCheck]:
mod = importlib.import_module(mod_path)
check_classes = set()
for attr in mod.__dict__.keys():
obj = getattr(mod, attr)
if inspect.isclass(obj):
if BaseCheck in obj.__bases__:
check_classes.add(obj)
if mod_path == "dag_checks.base" and obj in KNOW_NEEDED_CLASSES:
check_classes.add(obj)
return list(check_classes)
def parse_all_checks() -> Tuple[List[Import], List[BaseCheck]]:
imports = []
check_classes = []
for file in sorted(os.listdir(CHECK_FOLDER)):
file_path = os.path.join(CHECK_FOLDER, file)
if not os.path.isfile(file_path):
continue
imports.extend(get_imports(file_path))
check_classes.extend(get_check_class(f"dag_checks.{file.replace('.py', '')}"))
return imports, sorted(check_classes, key=lambda x: x.__class__.__name__)
def prepare_check_code(imports, check_classes) -> str:
lines = NL.join(str(imp) for imp in imports)
lines += NL
lines += NL.join(inspect.getsource(cls) + NL for cls in check_classes)
return lines
CHECK_CALLABLE_TEMPLATE = """
def check_function(*args, **kwargs):
print("******* RUNNING DAGS CHECKS *******")
{% for cls in check_classes %}{{ cls.__name__ }}().check()
{% endfor %}
"""
def prepare_callable_code(check_classes: List) -> str:
return Template(CHECK_CALLABLE_TEMPLATE).render(check_classes=check_classes)
DAG_IMPORTS = [
Import(module=["airflow"], name=["DAG"]),
Import(module=["airflow", "utils", "dates"], name=["days_ago"]),
Import(module=["airflow", "operators", "python_operator"], name=["PythonOperator"]),
]
DAG_TEMPLATE = """
with DAG(dag_id="diagnose_dag", schedule_interval=None, start_date=days_ago(1)) as dag:
PythonOperator(
task_id="check_task",
python_callable=check_function
)
"""
def prepare_dag_code():
imports, check_classes = parse_all_checks()
imports.extend(DAG_IMPORTS)
imports = [i for i in imports if not str(i).startswith("from dag_checks.")]
source_code = prepare_check_code(imports, check_classes)
callable_code = prepare_callable_code([c for c in check_classes if BaseCheck in c.__bases__])
with open(DAG_FILE_PATH, "w+") as file:
file.write(source_code)
file.write(callable_code)
file.write(DAG_TEMPLATE)
file.flush()
apply_cosmetics(file.name)
sys.exit(0)
if __name__ == "__main__":
prepare_dag_code()