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#!/usr/bin/env python3
from __future__ import annotations
import hashlib
import json
import os
import random
import re
import time
import urllib.error
import urllib.parse
import urllib.request
from dataclasses import dataclass
from typing import Any
RETRY_CODES = {429, 500, 502, 503, 504}
def canonical_json(value: Any) -> str:
return json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(",", ":"))
def sha256_json(value: Any) -> str:
return hashlib.sha256(canonical_json(value).encode()).hexdigest()
def extract_json(text: str) -> Any:
text = text.strip()
if text.startswith("```"):
text = re.sub(r"^```(?:json)?\s*", "", text)
text = re.sub(r"\s*```$", "", text)
try:
return json.loads(text)
except json.JSONDecodeError:
starts = [i for i in (text.find("["), text.find("{")) if i >= 0]
if not starts:
raise
start = min(starts)
for end in range(len(text), start, -1):
try:
return json.loads(text[start:end])
except json.JSONDecodeError:
continue
raise
@dataclass
class ReviewResponse:
raw_body: dict
text: str
parsed: Any
usage: dict
model_version: str
latency_seconds: float
request_hash: str
response_hash: str
status_code: int
class ReviewClient:
def __init__(
self,
api_type: str,
base_url: str,
api_key: str,
model: str,
timeout: int = 180,
retries: int = 5,
extra_body: dict | None = None,
):
self.api_type = api_type
self.base_url = base_url.rstrip("/")
self.api_key = api_key
self.model = model
self.timeout = timeout
self.retries = retries
self.extra_body = extra_body or {}
if api_type not in {
"openai_compatible", "anthropic_compatible", "generic_http_json",
"local_openai_compatible", "custom_adapter",
}:
raise ValueError(f"unsupported REVIEW_API_TYPE: {api_type}")
def _request_spec(self, system: str, user: str, max_tokens: int) -> tuple[str, dict, dict]:
if self.api_type == "anthropic_compatible":
url = self.base_url + "/messages"
body = {
"model": self.model,
"max_tokens": max_tokens,
"system": system,
"messages": [{"role": "user", "content": user}],
}
body.update(self.extra_body)
headers = {
"content-type": "application/json",
"x-api-key": self.api_key,
"anthropic-version": "2023-06-01",
}
return url, body, headers
if self.api_type in {"openai_compatible", "local_openai_compatible"}:
url = self.base_url + "/chat/completions"
body = {
"model": self.model,
"temperature": 0,
"max_tokens": max_tokens,
"messages": [{"role": "system", "content": system}, {"role": "user", "content": user}],
}
body.update(self.extra_body)
return url, body, {"content-type": "application/json", "authorization": f"Bearer {self.api_key}"}
url = self.base_url
body = {"model": self.model, "system": system, "input": user, "max_tokens": max_tokens}
body.update(self.extra_body)
return url, body, {"content-type": "application/json", "authorization": f"Bearer {self.api_key}"}
def _parse_text(self, payload: dict) -> tuple[str, dict, str]:
if self.api_type == "anthropic_compatible":
text = "\n".join(
block.get("text", "") for block in payload.get("content", [])
if isinstance(block, dict) and block.get("type") == "text"
)
usage = payload.get("usage", {})
model_version = str(payload.get("model", self.model))
return text, usage, model_version
if self.api_type in {"openai_compatible", "local_openai_compatible"}:
text = payload["choices"][0]["message"]["content"]
return text, payload.get("usage", {}), str(payload.get("model", self.model))
text = payload.get("output") or payload.get("text") or payload.get("response") or ""
return str(text), payload.get("usage", {}), str(payload.get("model", self.model))
def complete_json(self, system: str, user: str, max_tokens: int = 4096) -> ReviewResponse:
url, body, headers = self._request_spec(system, user, max_tokens)
public_request = {"url_host": urllib.parse.urlparse(url).netloc, "body": body}
request_hash = sha256_json(public_request)
encoded = canonical_json(body).encode()
last_error: Exception | None = None
for attempt in range(self.retries + 1):
started = time.monotonic()
try:
request = urllib.request.Request(url, data=encoded, headers=headers, method="POST")
with urllib.request.urlopen(request, timeout=self.timeout) as response:
raw = response.read().decode("utf-8", errors="replace")
payload = json.loads(raw)
text, usage, model_version = self._parse_text(payload)
parsed = extract_json(text)
return ReviewResponse(
raw_body=payload, text=text, parsed=parsed, usage=usage,
model_version=model_version, latency_seconds=time.monotonic() - started,
request_hash=request_hash, response_hash=hashlib.sha256(raw.encode()).hexdigest(),
status_code=response.status,
)
except urllib.error.HTTPError as exc:
last_error = exc
if exc.code not in RETRY_CODES or attempt >= self.retries:
raise
except (urllib.error.URLError, TimeoutError, json.JSONDecodeError) as exc:
last_error = exc
if attempt >= self.retries:
raise
delay = min(60.0, (2 ** attempt) + random.random())
time.sleep(delay)
raise RuntimeError(f"request failed: {type(last_error).__name__}")
def client_from_env(api_key: str) -> ReviewClient:
extra = {}
if os.environ.get("REVIEW_EXTRA_BODY_JSON"):
extra = json.loads(os.environ["REVIEW_EXTRA_BODY_JSON"])
return ReviewClient(
api_type=os.environ.get("REVIEW_API_TYPE", "anthropic_compatible"),
base_url=os.environ["REVIEW_API_BASE_URL"],
api_key=api_key,
model=os.environ["REVIEW_MODEL_PRIMARY"],
timeout=int(os.environ.get("REVIEW_TIMEOUT_SECONDS", "180")),
retries=int(os.environ.get("REVIEW_MAX_RETRIES", "5")),
extra_body=extra,
)