add CI fix tool to app (#10)

* add CI fix tool to app

* perform ruff safe fix

* wrap too long lines in prompts.py
This commit is contained in:
XianBW
2024-05-30 10:33:07 +08:00
committed by GitHub
parent c6833b0858
commit 62a2f7a742
24 changed files with 729 additions and 150 deletions
@@ -8,6 +8,7 @@ from itertools import combinations
from pathlib import Path
from typing import Union
from finco.graph import UndirectedGraph, UndirectedNode
from jinja2 import Template
from core.evolving_framework import (
@@ -18,8 +19,6 @@ from core.evolving_framework import (
QueriedKnowledge,
RAGStrategy,
)
from finco.graph import UndirectedGraph, UndirectedNode
from oai.llm_utils import APIBackend, calculate_embedding_distance_between_str_list
from core.log import FinCoLog
from factor_implementation.evolving.evaluators import (
FactorImplementationSingleFeedback,
@@ -32,6 +31,7 @@ from factor_implementation.share_modules.factor import (
from factor_implementation.share_modules.prompt import (
FactorImplementationPrompts,
)
from oai.llm_utils import APIBackend, calculate_embedding_distance_between_str_list
class FactorImplementationKnowledge(Knowledge):
@@ -150,47 +150,46 @@ class FactorImplementationRAGStrategyV1(RAGStrategy):
queried_knowledge.success_task_to_knowledge_dict[target_factor_task_information] = (
self.knowledgebase.implementation_trace[target_factor_task_information][-1]
)
elif (
len(
self.knowledgebase.implementation_trace.setdefault(
target_factor_task_information,
[],
),
)
>= fail_task_trial_limit
):
queried_knowledge.failed_task_info_set.add(target_factor_task_information)
else:
if (
len(
self.knowledgebase.implementation_trace.setdefault(
target_factor_task_information,
[],
),
)
>= fail_task_trial_limit
):
queried_knowledge.failed_task_info_set.add(target_factor_task_information)
else:
queried_knowledge.working_task_to_former_failed_knowledge_dict[target_factor_task_information] = (
self.knowledgebase.implementation_trace.setdefault(
target_factor_task_information,
[],
)[-v1_query_former_trace_limit:]
)
queried_knowledge.working_task_to_former_failed_knowledge_dict[target_factor_task_information] = (
self.knowledgebase.implementation_trace.setdefault(
target_factor_task_information,
[],
)[-v1_query_former_trace_limit:]
)
knowledge_base_success_task_list = list(
self.knowledgebase.success_task_info_set,
)
similarity = calculate_embedding_distance_between_str_list(
[target_factor_task_information],
knowledge_base_success_task_list,
)[0]
similar_indexes = sorted(
range(len(similarity)),
key=lambda i: similarity[i],
reverse=True,
)[:v1_query_similar_success_limit]
similar_successful_knowledge = [
self.knowledgebase.implementation_trace.setdefault(
knowledge_base_success_task_list[index],
[],
)[-1]
for index in similar_indexes
]
queried_knowledge.working_task_to_similar_successful_knowledge_dict[
target_factor_task_information
] = similar_successful_knowledge
knowledge_base_success_task_list = list(
self.knowledgebase.success_task_info_set,
)
similarity = calculate_embedding_distance_between_str_list(
[target_factor_task_information],
knowledge_base_success_task_list,
)[0]
similar_indexes = sorted(
range(len(similarity)),
key=lambda i: similarity[i],
reverse=True,
)[:v1_query_similar_success_limit]
similar_successful_knowledge = [
self.knowledgebase.implementation_trace.setdefault(
knowledge_base_success_task_list[index],
[],
)[-1]
for index in similar_indexes
]
queried_knowledge.working_task_to_similar_successful_knowledge_dict[
target_factor_task_information
] = similar_successful_knowledge
return queried_knowledge
@@ -889,7 +888,7 @@ class FactorImplementationGraphKnowledgeBase(KnowledgeBase):
for possible_combination in possible_combinations:
node_list = list(possible_combination)
intersection_node_list.extend(
self.graph.get_nodes_intersection(node_list, steps=steps, constraint_labels=constraint_labels)
self.graph.get_nodes_intersection(node_list, steps=steps, constraint_labels=constraint_labels),
)
if output_intersection_origin:
for _ in range(len(intersection_node_list)):