Spaces:
Sleeping
Sleeping
Commit ·
2184846
1
Parent(s): 1a1713a
Make inference fallback to offline SQL correction
Browse files- inference.py +43 -6
inference.py
CHANGED
|
@@ -16,9 +16,13 @@ import os
|
|
| 16 |
import sys
|
| 17 |
import textwrap
|
| 18 |
from typing import List, Optional
|
|
|
|
| 19 |
|
| 20 |
import httpx
|
| 21 |
-
|
|
|
|
|
|
|
|
|
|
| 22 |
|
| 23 |
API_BASE_URL = os.getenv("API_BASE_URL", "https://router.huggingface.co/v1")
|
| 24 |
MODEL_NAME = os.getenv("MODEL_NAME", "Qwen/Qwen2.5-72B-Instruct")
|
|
@@ -72,7 +76,35 @@ SYSTEM_PROMPT = textwrap.dedent(
|
|
| 72 |
).strip()
|
| 73 |
|
| 74 |
|
| 75 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 76 |
history_block = "\n".join(history[-4:]) if history else "None"
|
| 77 |
user_prompt = textwrap.dedent(
|
| 78 |
f"""
|
|
@@ -103,14 +135,19 @@ def get_model_action(client: OpenAI, obs: dict, history: List[str]) -> str:
|
|
| 103 |
stream=False,
|
| 104 |
)
|
| 105 |
text = (completion.choices[0].message.content or "").strip()
|
| 106 |
-
return text if text else
|
| 107 |
except Exception as exc:
|
| 108 |
print(f"[DEBUG] LLM call failed: {exc}", flush=True)
|
| 109 |
-
return
|
| 110 |
|
| 111 |
|
| 112 |
async def run_task(task_name: str) -> None:
|
| 113 |
-
client =
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 114 |
|
| 115 |
rewards: List[float] = []
|
| 116 |
history: List[str] = []
|
|
@@ -137,7 +174,7 @@ async def run_task(task_name: str) -> None:
|
|
| 137 |
action_str = get_model_action(client, obs, history)
|
| 138 |
except Exception as exc:
|
| 139 |
print(f"[DEBUG] Model failed: {exc}", flush=True)
|
| 140 |
-
action_str = "
|
| 141 |
|
| 142 |
try:
|
| 143 |
step_resp = await http.post("/step", json={"corrected_query": action_str})
|
|
|
|
| 16 |
import sys
|
| 17 |
import textwrap
|
| 18 |
from typing import List, Optional
|
| 19 |
+
import re
|
| 20 |
|
| 21 |
import httpx
|
| 22 |
+
try:
|
| 23 |
+
from openai import OpenAI
|
| 24 |
+
except Exception:
|
| 25 |
+
OpenAI = None
|
| 26 |
|
| 27 |
API_BASE_URL = os.getenv("API_BASE_URL", "https://router.huggingface.co/v1")
|
| 28 |
MODEL_NAME = os.getenv("MODEL_NAME", "Qwen/Qwen2.5-72B-Instruct")
|
|
|
|
| 76 |
).strip()
|
| 77 |
|
| 78 |
|
| 79 |
+
SQL_REPLACEMENTS = {
|
| 80 |
+
"FORM": "FROM",
|
| 81 |
+
"WEHRE": "WHERE",
|
| 82 |
+
"WHER": "WHERE",
|
| 83 |
+
"GRUP": "GROUP",
|
| 84 |
+
"HAVNG": "HAVING",
|
| 85 |
+
"ORDR": "ORDER",
|
| 86 |
+
"INNE": "INNER",
|
| 87 |
+
"LFT": "LEFT",
|
| 88 |
+
"BETWEN": "BETWEEN",
|
| 89 |
+
"DSC": "DESC",
|
| 90 |
+
"SELCT": "SELECT",
|
| 91 |
+
"LIMT": "LIMIT",
|
| 92 |
+
"DPT_ID": "DEPT_ID",
|
| 93 |
+
}
|
| 94 |
+
|
| 95 |
+
|
| 96 |
+
def heuristic_correct_sql(query: str) -> str:
|
| 97 |
+
corrected = query
|
| 98 |
+
for broken, fixed in SQL_REPLACEMENTS.items():
|
| 99 |
+
corrected = re.sub(rf"\b{re.escape(broken)}\b", fixed, corrected, flags=re.IGNORECASE)
|
| 100 |
+
return corrected.strip()
|
| 101 |
+
|
| 102 |
+
|
| 103 |
+
def get_model_action(client: Optional["OpenAI"], obs: dict, history: List[str]) -> str:
|
| 104 |
+
heuristic = heuristic_correct_sql(obs["broken_query"])
|
| 105 |
+
if client is None:
|
| 106 |
+
return heuristic
|
| 107 |
+
|
| 108 |
history_block = "\n".join(history[-4:]) if history else "None"
|
| 109 |
user_prompt = textwrap.dedent(
|
| 110 |
f"""
|
|
|
|
| 135 |
stream=False,
|
| 136 |
)
|
| 137 |
text = (completion.choices[0].message.content or "").strip()
|
| 138 |
+
return text if text else heuristic
|
| 139 |
except Exception as exc:
|
| 140 |
print(f"[DEBUG] LLM call failed: {exc}", flush=True)
|
| 141 |
+
return heuristic
|
| 142 |
|
| 143 |
|
| 144 |
async def run_task(task_name: str) -> None:
|
| 145 |
+
client = None
|
| 146 |
+
if OpenAI is not None and API_KEY not in {"", "dummy"}:
|
| 147 |
+
try:
|
| 148 |
+
client = OpenAI(base_url=API_BASE_URL, api_key=API_KEY)
|
| 149 |
+
except Exception as exc:
|
| 150 |
+
print(f"[DEBUG] OpenAI client init failed: {exc}", flush=True)
|
| 151 |
|
| 152 |
rewards: List[float] = []
|
| 153 |
history: List[str] = []
|
|
|
|
| 174 |
action_str = get_model_action(client, obs, history)
|
| 175 |
except Exception as exc:
|
| 176 |
print(f"[DEBUG] Model failed: {exc}", flush=True)
|
| 177 |
+
action_str = heuristic_correct_sql(obs["broken_query"])
|
| 178 |
|
| 179 |
try:
|
| 180 |
step_resp = await http.post("/step", json={"corrected_query": action_str})
|