client_aic.models.core_search_result_ai.CoreSearchResultAI
CoreSearchResultAI
Source code in client_aic/models/core_search_result_ai.py
class CoreSearchResultAI:
"""## CoreSearchResultAI"""
def __init__(
self,
query: str = None,
sql_query: str = None,
recs: list = None,
msg: str = None,
):
"""
__init__
search api object
that contains all matching
**CoreResultAI** records in the
**self.recs** member variable
:param query: logical name of the
type of query to run (not
a sql query from the frontend)
:param sql_query: str: debugging
value for tracking the sql
statement(s) that were used
to find these matching record(s)
:param recs:
of matching records for
the rest api search
:param msg: debugging message
from the rest api
"""
self.query = query
self.sql_query = sql_query
self.recs = recs
self.msg = msg
def load_response_dict(
self,
rec_dict,
):
"""
load_response_dict
load a rest api response
into a **CoreSearchResultAI** object
:param rec_dict dict: response
dictionary from the rest api
"""
self.sql_query = rec_dict.get("sql_query", None)
self.msg = rec_dict.get("msg", None)
self.recs = []
for rec in rec_dict.get("recs", []):
self.add_rec(rec)
def add_rec(
self,
rec_dict,
):
"""
add_rec
helper for creating **CoreResultAI** records
from the rest api dictionary
:param rec_dict dict: values for this
matching **CoreResultAI** record
from the ai reinforcement learning
database
"""
cur_o = core_result_ai.CoreResultAI(
id=rec_dict.get("id", None),
user_id=rec_dict.get("user_id", None),
job_id=rec_dict.get("job_id", None),
worker_id=rec_dict.get("worker_id", None),
state=rec_dict.get("state", None),
question=rec_dict.get("question", None),
answer=rec_dict.get("answer", None),
model_name=rec_dict.get("model_name", None),
score=rec_dict.get("score", None),
question_score=rec_dict.get(
"question_score", None
),
answer_score=rec_dict.get("answer_score", None),
match_source=rec_dict.get("match_source", None),
match_page=rec_dict.get("match_page", None),
match_content=rec_dict.get(
"match_content", None
),
summarized_question=rec_dict.get(
"summarized_question", None
),
summarized_answer=rec_dict.get(
"summarized_answer", None
),
summarized_score=rec_dict.get(
"summarized_score", None
),
reviewed_answer=rec_dict.get(
"reviewed_answer", None
),
reviewed_score=rec_dict.get(
"reviewed_score", None
),
reviewed_computed_score=rec_dict.get(
"reviewed_computed_score", None
),
reviewed_notes=rec_dict.get(
"reviewed_notes", None
),
collection=rec_dict.get("collection", None),
collection_notes=rec_dict.get(
"collection_notes", None
),
session_id=rec_dict.get("session_id", None),
derived_session_id=rec_dict.get(
"derived_session_id", None
),
category=rec_dict.get("category", None),
tags=rec_dict.get("tags", None),
latency=rec_dict.get("latency", None),
data=rec_dict.get("data", None),
created_at=rec_dict.get("created_at", None),
updated_at=rec_dict.get("updated_at", None),
)
if not self.recs:
self.recs = [cur_o]
else:
self.recs.append(cur_o)
def get_dict(self):
"""
get_dict
return a dictionary for this object
:returns: dictionary
:rtype: dict
"""
res = {
"query": self.query,
"sql_query": self.sql_query,
"msg": self.msg,
"recs": self.recs,
}
return res
__init__(query=None, sql_query=None, recs=None, msg=None)
init
search api object that contains all matching CoreResultAI records in the self.recs member variable
| Parameters: |
|
|---|
client_aic/models/core_search_result_ai.py
def __init__(
self,
query: str = None,
sql_query: str = None,
recs: list = None,
msg: str = None,
):
"""
__init__
search api object
that contains all matching
**CoreResultAI** records in the
**self.recs** member variable
:param query: logical name of the
type of query to run (not
a sql query from the frontend)
:param sql_query: str: debugging
value for tracking the sql
statement(s) that were used
to find these matching record(s)
:param recs:
of matching records for
the rest api search
:param msg: debugging message
from the rest api
"""
self.query = query
self.sql_query = sql_query
self.recs = recs
self.msg = msg
add_rec(rec_dict)
add_rec
helper for creating CoreResultAI records from the rest api dictionary
| Parameters: |
|
|---|
client_aic/models/core_search_result_ai.py
def add_rec(
self,
rec_dict,
):
"""
add_rec
helper for creating **CoreResultAI** records
from the rest api dictionary
:param rec_dict dict: values for this
matching **CoreResultAI** record
from the ai reinforcement learning
database
"""
cur_o = core_result_ai.CoreResultAI(
id=rec_dict.get("id", None),
user_id=rec_dict.get("user_id", None),
job_id=rec_dict.get("job_id", None),
worker_id=rec_dict.get("worker_id", None),
state=rec_dict.get("state", None),
question=rec_dict.get("question", None),
answer=rec_dict.get("answer", None),
model_name=rec_dict.get("model_name", None),
score=rec_dict.get("score", None),
question_score=rec_dict.get(
"question_score", None
),
answer_score=rec_dict.get("answer_score", None),
match_source=rec_dict.get("match_source", None),
match_page=rec_dict.get("match_page", None),
match_content=rec_dict.get(
"match_content", None
),
summarized_question=rec_dict.get(
"summarized_question", None
),
summarized_answer=rec_dict.get(
"summarized_answer", None
),
summarized_score=rec_dict.get(
"summarized_score", None
),
reviewed_answer=rec_dict.get(
"reviewed_answer", None
),
reviewed_score=rec_dict.get(
"reviewed_score", None
),
reviewed_computed_score=rec_dict.get(
"reviewed_computed_score", None
),
reviewed_notes=rec_dict.get(
"reviewed_notes", None
),
collection=rec_dict.get("collection", None),
collection_notes=rec_dict.get(
"collection_notes", None
),
session_id=rec_dict.get("session_id", None),
derived_session_id=rec_dict.get(
"derived_session_id", None
),
category=rec_dict.get("category", None),
tags=rec_dict.get("tags", None),
latency=rec_dict.get("latency", None),
data=rec_dict.get("data", None),
created_at=rec_dict.get("created_at", None),
updated_at=rec_dict.get("updated_at", None),
)
if not self.recs:
self.recs = [cur_o]
else:
self.recs.append(cur_o)
get_dict()
get_dict
return a dictionary for this object
| Returns: |
|
|---|
client_aic/models/core_search_result_ai.py
def get_dict(self):
"""
get_dict
return a dictionary for this object
:returns: dictionary
:rtype: dict
"""
res = {
"query": self.query,
"sql_query": self.sql_query,
"msg": self.msg,
"recs": self.recs,
}
return res
load_response_dict(rec_dict)
load_response_dict
load a rest api response into a CoreSearchResultAI object
| Parameters: |
|
|---|
client_aic/models/core_search_result_ai.py
def load_response_dict(
self,
rec_dict,
):
"""
load_response_dict
load a rest api response
into a **CoreSearchResultAI** object
:param rec_dict dict: response
dictionary from the rest api
"""
self.sql_query = rec_dict.get("sql_query", None)
self.msg = rec_dict.get("msg", None)
self.recs = []
for rec in rec_dict.get("recs", []):
self.add_rec(rec)