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query_operators.py
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query_operators.py
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from maggma.api.query_operator import QueryOperator
from maggma.api.utils import STORE_PARAMS
from emmet.api.routes.tasks.utils import calcs_reversed_to_trajectory, task_to_entry
from fastapi import Query
from typing import Optional
from monty.json import jsanitize
class MultipleTaskIDsQuery(QueryOperator):
"""
Method to generate a query on search docs using multiple task_id values
"""
def query(
self,
task_ids: Optional[str] = Query(
None, description="Comma-separated list of task_ids to query on"
),
) -> STORE_PARAMS:
crit = {}
if task_ids:
crit.update(
{
"task_id": {
"$in": [task_id.strip() for task_id in task_ids.split(",")]
}
}
)
return {"criteria": crit}
def post_process(self, docs, query):
"""
Post processing to remove unwanted fields from all task queries
"""
for doc in docs:
doc.pop("tags", None)
doc.pop("sbxn", None)
doc.pop("dir_name", None)
return docs
class TrajectoryQuery(QueryOperator):
"""
Method to generate a query on calculation trajectory data from task documents
"""
def query(
self,
task_ids: Optional[str] = Query(
None, description="Comma-separated list of task_ids to query on"
),
) -> STORE_PARAMS:
crit = {}
if task_ids:
crit.update(
{
"task_id": {
"$in": [task_id.strip() for task_id in task_ids.split(",")]
}
}
)
return {"criteria": crit}
def post_process(self, docs, query):
"""
Post processing to generatore trajectory data
"""
d = [
{
"task_id": doc["task_id"],
"trajectories": jsanitize(
calcs_reversed_to_trajectory(doc["calcs_reversed"])
),
}
for doc in docs
]
return d
class EntryQuery(QueryOperator):
"""
Method to generate a query on calculation entry data from task documents
"""
def query(
self,
task_ids: Optional[str] = Query(
None, description="Comma-separated list of task_ids to query on"
),
) -> STORE_PARAMS:
crit = {}
if task_ids:
crit.update(
{
"task_id": {
"$in": [task_id.strip() for task_id in task_ids.split(",")]
}
}
)
return {"criteria": crit}
def post_process(self, docs, query):
"""
Post processing to generatore entry data
"""
d = [
{"task_id": doc["task_id"], "entry": jsanitize(task_to_entry(doc))}
for doc in docs
]
return d
class DeprecationQuery(QueryOperator):
"""
Method to generate a query on calculation trajectory data from task documents
"""
def query(
self,
task_ids: str = Query(
..., description="Comma-separated list of task_ids to query on"
),
) -> STORE_PARAMS:
self.task_ids = [task_id.strip() for task_id in task_ids.split(",")]
crit = {}
if task_ids:
crit.update({"deprecated_tasks": {"$in": self.task_ids}})
return {"criteria": crit}
def post_process(self, docs, query):
"""
Post processing to generatore deprecation data
"""
d = []
for task_id in self.task_ids:
deprecation = {
"task_id": task_id,
"deprecated": False,
"deprecation_reason": None,
}
for doc in docs:
if task_id in doc["deprecated_tasks"]:
deprecation = {
"task_id": task_id,
"deprecated": True,
"deprecation_reason": None,
}
break
d.append(deprecation)
return d